Angel Xuan Chang | Angel Xuan Chang

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Angel Xuan Chang

I am an Associate Professor at Simon Fraser University. Prior to this, I was a visiting research scientist at Facebook AI Research and a research scientist at Eloquent Labs working on dialogue. I received my Ph.D. in Computer Science from Stanford, where I was part of the Natural Language Processing Group and advised by Chris Manning. My research focuses on connecting language to 3D representations of shapes and scenes and grounding of language for embodied agents in indoor environments. I have worked on methods for synthesizing 3D scenes and shapes from natural language, and various datasets for 3D scene understanding. In general, I am interested in the semantics of shapes and scenes, the representation and acquisition of common sense knowledge, and reasoning using probabilistic models. My group also works on using machine learning for biodiversity monitoring, specifically with DNA barcodes as part of the larger BIOSCAN project. Some of my other interests include drawing and dance.

News

  • November 2025 - Congratulations to ZeMing for successfully defending his MSc thesis!
  • November 2025 - Two papers accepted at WACV 2025. Congratulations to
    • Denys, Shawn, and Yiming for their work on S2O: Static to Openable Enhancement for Articulated 3D Objects.
    • Ivan, Derek, and Austin for their work on SceneEval: Evaluating semantic coherence in text-conditioned 3D indoor scene synthesis.
  • November 2025 - Two papers accepted at 3DV 2025. Congratulations to
    • Xiaohao and Divyam for their work on SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis.
    • Derek, Ivan, Austin, and Xiaoliang for their work on HSM: Hierarchical Scene Motifs for Multi-Scale Indoor Scene Generation.
  • October 2025 - This year, I'm co-organizing the following workshops at IROS 2025:
    • Oct 24th pm - Human-aware Embodied AI (HEAI) Workshop
    • Oct 24th pm - AI Meets Autonomy: Vision, Language, and Autonomous Systems Workshop
  • October 2025 - Talks, workshops, and papers at ICCV 2025.
    • Oct 19th pm - Poster on Hyperbolic Multimodal Representation Learning for Biological Taxonomies at Beyond Euclidean Workshop
    • Oct 19th pm - Talk at Workshop on Open-World 3D Scene Understanding with Foundation Models (OpenSUN3D)
    • Oct 20th pm - Talk at Workshop on Scalable 3D Scene Generation and Geometric Scene Understanding
    • Oct 20th am - Co-organizing Workshop on AI for 3D Content Creation
    • Oct 20th - Co-organizing CLVL: 6th Workshop on Closing the Loop Between Vision and Language (Decade Mark)
    • Oct 21st - Qirui presenting poster on Diorama: Unleashing Zero-shot Single-view 3D Scene Modeling
    • Oct 23rd - Han-Hung presenting poster on NuiScene: Exploring Efficient Generation of Unbounded Outdoor Scenes
More...

Angel Xuan Chang angelx-{at}-sfu-[dot]-ca Associate Professor School of Computing Science Simon Fraser University 3DLG | GrUVi | SFU NatLang SFU AI/ML | VINCI Canada CIFAR AI Chair (Amii) TUM-IAS Hans Fischer Fellow (2018-2022) Google Scholar

Recent Papers

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis

Xiaohao Sun, Divyam Goel, Angel X. Chang 3DV 2026, arXiv:2508.18597 [cs.GR], August 2025 pdf | webpage HSM: Hierarchical Scene Motifs for Multi-Scale Indoor Scene Generation

HSM: Hierarchical Scene Motifs for Multi-Scale Indoor Scene Generation

Hou In Derek Pun, Hou In Ivan Tam, Austin T. Wang, Xiaoliang Huo, Angel X. Chang, Manolis Savva 3DV 2026, arXiv:2503.16848 [cs.CV], March 2025 pdf | webpage SceneEval: Evaluating Semantic Coherence in Text-Conditioned 3D Indoor Scene Synthesis

SceneEval: Evaluating Semantic Coherence in Text-Conditioned 3D Indoor Scene Synthesis

Hou In Ivan Tam, Hou In Derek Pun, Austin T. Wang, Angel X. Chang, Manolis Savva WACV 2026, arXiv:2503.14756 [cs.CV], March 2025 pdf | code | webpage S2O: Static to Openable Enhancement for Articulated 3D Objects

S2O: Static to Openable Enhancement for Articulated 3D Objects

Denys Iliash, Hanxiao (Shawn) Jiang, Yiming Zhang, Manolis Savva, Angel X. Chang WACV 2026, arXiv:2409.18896 [cs.CV], September 2024 pdf | code | webpage NuiScene: Exploring Efficient Generation of Unbounded Outdoor Scenes

NuiScene: Exploring Efficient Generation of Unbounded Outdoor Scenes

Han-Hung Lee, Qinghong Han, Angel X. Chang ICCV 2025, arXiv:2503.16375 [cs.CV] pdf | code | webpage Diorama: Unleashing Zero-shot Single-view 3D Scene Modeling

Diorama: Unleashing Zero-shot Single-view 3D Scene Modeling

Qirui Wu, Denys Iliash, Daniel Ritchie, Manolis Savva, Angel X. Chang ICCV 2025, arXiv:2411.19492 [cs.CV] pdf | webpage ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding

ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding

Austin T. Wang, Zeming Gong, Angel X. Chang ACL 2025, arXiv:2501.01366 [cs.CV] pdf | code | webpage LangNavBench: Evaluation of Natural Language Understanding in Semantic Navigation

LangNavBench: Evaluation of Natural Language Understanding in Semantic Navigation

Sonia Raychaudhuri, Enrico Cancelli, Tommaso Campari, Lamberto Ballan, Manolis Savva, Angel X. Chang arXiv:2507.07299 [cs.RO, cs.CV] pdf | code | webpage Semantic Mapping in Indoor Embodied AI - A Comprehensive Survey and Future Directions

Semantic Mapping in Indoor Embodied AI - A Comprehensive Survey and Future Directions

Sonia Raychaudhuri, Angel X. Chang TMLR August 2025, arXiv:2501.05750 [cs.CV] pdf Enhancing DNA Foundation Models to Address Masking Inefficiencies

Enhancing DNA Foundation Models to Address Masking Inefficiencies

Monireh Safari, Pablo Millan Arias, Scott C Lowe, Lila Kari, Angel X. Chang, Graham W Taylor Nucleic Acids Workshop and Machine Learning for Genomics Exploration Workshop at ICLR 2025 pdf | code CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale

CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale

Zeming Gong, Austin T. Wang, Xiaoliang Huo, Joakim Bruslund Haurum, Scott C Lowe, Graham W Taylor, Angel X. Chang ICLR 2025, arXiv:2405.17537 [cs.AI] pdf | code | webpage SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects

SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects

Jiayi Liu, Denys Iliash, Angel X. Chang, Manolis Savva, Ali Mahdavi-Amiri ICLR 2025, arXiv:2410.16499 [cs.CV] pdf | code | webpage Duoduo CLIP: Efficient 3D Understanding with Multi-View Images

Duoduo CLIP: Efficient 3D Understanding with Multi-View Images

Han-Hung Lee*, Yiming Zhang*, Angel X. Chang ICLR 2025, arXiv:2406.11579 [cs.CV] pdf | code | webpage An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion

An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion

Xingguang Yan, Han-Hung Lee, Ziyu Wan, Angel X. Chang 3DV 2025 Best paper, arXiv:2408.03178 [cs.CV] pdf | code | webpage SceneMotifCoder: Example-driven Visual Program Learning for Generating 3D Object Arrangements

SceneMotifCoder: Example-driven Visual Program Learning for Generating 3D Object Arrangements

Hou In Ivan Tam, Hou In Derek Pun, Austin T. Wang, Angel X. Chang, Manolis Savva 3DV 2025, arXiv:2408.02211 [cs.GR] pdf | code | video | webpage Zero-shot Object-Centric Instruction Following: Integrating Foundation Models with Traditional Navigation

Zero-shot Object-Centric Instruction Following: Integrating Foundation Models with Traditional Navigation

Sonia Raychaudhuri, Duy Ta, Katrina Ashton, Angel X. Chang, Jiuguang Wang, Bernadette Bucher arXiv:2411.07848 [cs.RO], November 2024 pdf | video | webpage More...

Research Themes

  • Grounding language to 3D
  • Language based content creation
  • BIOSCAN
  • Embodied AI
  • Simulation platforms
  • Articulated objects for interactive environments
  • Datasets for 3D deep learning
  • 3D scene understanding and generation

Grounding language to 3D

ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding

ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding

Austin T. Wang, Zeming Gong, Angel X. Chang ACL 2025, arXiv:2501.01366 [cs.CV] pdf | code | webpage Duoduo CLIP: Efficient 3D Understanding with Multi-View Images

Duoduo CLIP: Efficient 3D Understanding with Multi-View Images

Han-Hung Lee*, Yiming Zhang*, Angel X. Chang ICLR 2025, arXiv:2406.11579 [cs.CV] pdf | code | webpage TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval

TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval

Yue Ruan*, Han-Hung Lee*, Yiming Zhang, Ke Zhang, Angel X. Chang WACV 2024, arXiv:2201.07366 [cs.CV], arXiv January 2022 pdf | code | webpage Multi3DRefer: Grounding Text Description to Multiple 3D Objects

Multi3DRefer: Grounding Text Description to Multiple 3D Objects

Yiming Zhang, Zeming Gong, Angel X. Chang ICCV 2023 pdf | code | webpage UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding

UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding

Dave Zhenyu Chen, Ronghang Hu, Xinlei Chen, Matthias Nießner, Angel X. Chang ICCV 2023 pdf | webpage D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding

D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding

Dave Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang ECCV 2022 pdf | code | webpage 3DVQA: Visual Question Answering for 3D Environments

3DVQA: Visual Question Answering for 3D Environments

Yasaman Etesam, Leon Kochiev, Angel X. Chang CRV 2022 pdf | code | webpage Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

Dave Zhenyu Chen, Ali Gholami, Matthias Nießner, Angel X. Chang CVPR 2021 pdf | code | webpage ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner ECCV 2020 pdf | code | benchmark | webpage

Language based content creation

HSM: Hierarchical Scene Motifs for Multi-Scale Indoor Scene Generation

HSM: Hierarchical Scene Motifs for Multi-Scale Indoor Scene Generation

Hou In Derek Pun, Hou In Ivan Tam, Austin T. Wang, Xiaoliang Huo, Angel X. Chang, Manolis Savva 3DV 2026, arXiv:2503.16848 [cs.CV], March 2025 pdf | webpage SceneEval: Evaluating Semantic Coherence in Text-Conditioned 3D Indoor Scene Synthesis

SceneEval: Evaluating Semantic Coherence in Text-Conditioned 3D Indoor Scene Synthesis

Hou In Ivan Tam, Hou In Derek Pun, Austin T. Wang, Angel X. Chang, Manolis Savva WACV 2026, arXiv:2503.14756 [cs.CV], March 2025 pdf | code | webpage SceneMotifCoder: Example-driven Visual Program Learning for Generating 3D Object Arrangements

SceneMotifCoder: Example-driven Visual Program Learning for Generating 3D Object Arrangements

Hou In Ivan Tam, Hou In Derek Pun, Austin T. Wang, Angel X. Chang, Manolis Savva 3DV 2025, arXiv:2408.02211 [cs.GR] pdf | code | video | webpage Text-to-3D Shape Generation

Text-to-3D Shape Generation

Han-Hung Lee, Manolis Savva, Angel X. Chang Eurographics STAR (State of The Art Report), CGF 2024 pdf | webpage Understanding Pure CLIP Guidance for Voxel Grid NeRF Models

Understanding Pure CLIP Guidance for Voxel Grid NeRF Models

Han-Hung Lee, Angel X. Chang arXiv:2201.07366 [cs.CV], September 2022 pdf | code | webpage Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings

Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings

Kevin Chen, Christopher B. Choy, Manolis Savva, Angel X. Chang, Thomas Funkhouser, Silvio Savarese Proceedings of ACCV 2018 (oral), arXiv:1803.08495 [cs.CV] pdf | code | webpage Text to 3D Scene Generation with Rich Lexical Grounding

Text to 3D Scene Generation with Rich Lexical Grounding

Angel X. Chang, Will Monroe, Manolis Savva, Christopher Potts, Christopher D. Manning Proceedings of ACL 2015 pdf | bib | webpage Learning Spatial Knowledge for Text to 3D Scene Generation

Learning Spatial Knowledge for Text to 3D Scene Generation

Angel X. Chang, Manolis Savva, Christopher D. Manning Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014) pdf | bib | webpage

BIOSCAN

Enhancing DNA Foundation Models to Address Masking Inefficiencies

Enhancing DNA Foundation Models to Address Masking Inefficiencies

Monireh Safari, Pablo Millan Arias, Scott C Lowe, Lila Kari, Angel X. Chang, Graham W Taylor Nucleic Acids Workshop and Machine Learning for Genomics Exploration Workshop at ICLR 2025 pdf | code CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale

CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale

Zeming Gong, Austin T. Wang, Xiaoliang Huo, Joakim Bruslund Haurum, Scott C Lowe, Graham W Taylor, Angel X. Chang ICLR 2025, arXiv:2405.17537 [cs.AI] pdf | code | webpage BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity

BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity

Zahra Gharaee*, Scott C Lowe*, Zeming Gong*, Pablo Millan Arias*, Nicholas Pellegrino, Austin T. Wang, Joakim Bruslund Haurum, Iuliia Zarubiieva, Lila Kari, Dirk Steinke†, Graham W Taylor†, Paul Fieguth†, Angel X. Chang†, NeurIPS D&B 2024, arXiv:2406.12723 [cs.LG] pdf | code | webpage BarcodeBERT: Transformers for Biodiversity Analysis

BarcodeBERT: Transformers for Biodiversity Analysis

Pablo Millan Arias, Niousha Sadjadi, Monireh Safari, Zeming Gong, Austin T. Wang, Scott C Lowe, Joakim Bruslund Haurum, Iuliia Zarubiieva, Dirk Steinke, Lila Kari, Angel X. Chang, Graham W Taylor 4th Workshop on Self-Supervised Learning: Theory and Practice (NeurIPS 2023) pdf | code A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset

A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset

Zahra Gharaee*, Zeming Gong*, Nicholas Pellegrino*, Iuliia Zarubiieva, Joakim Bruslund Haurum, Scott C Lowe, Jaclyn TA McKeown, Chris CY Ho, Joschka McLeod, Yi-Yun C Wei, Jireh Agda, Sujeevan Ratnasingham, Dirk Steinke†, Angel X. Chang†, Graham W Taylor†, Paul Fieguth†, NeurIPS Datasets and Benchmarks 2023 pdf | code | webpage

Embodied AI

LangNavBench: Evaluation of Natural Language Understanding in Semantic Navigation

LangNavBench: Evaluation of Natural Language Understanding in Semantic Navigation

Sonia Raychaudhuri, Enrico Cancelli, Tommaso Campari, Lamberto Ballan, Manolis Savva, Angel X. Chang arXiv:2507.07299 [cs.RO, cs.CV] pdf | code | webpage Zero-shot Object-Centric Instruction Following: Integrating Foundation Models with Traditional Navigation

Zero-shot Object-Centric Instruction Following: Integrating Foundation Models with Traditional Navigation

Sonia Raychaudhuri, Duy Ta, Katrina Ashton, Angel X. Chang, Jiuguang Wang, Bernadette Bucher arXiv:2411.07848 [cs.RO], November 2024 pdf | video | webpage MOPA: Modular Object Navigation with PointGoal Agents

MOPA: Modular Object Navigation with PointGoal Agents

Sonia Raychaudhuri, Tommaso Campari, Unnat Jain, Manolis Savva, Angel X. Chang WACV 2024, arXiv:2304.03696 [cs.RO, cs.CV], arXiv April 2023 pdf | code | webpage HomeRobot: Open Vocabulary Mobile Manipulation

HomeRobot: Open Vocabulary Mobile Manipulation

Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin Wang, Mukul Khanna, Theo Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander William Clegg, John Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton CoRL 2023 pdf | code | challenge | webpage Exploiting Proximity-Aware Tasks for Embodied Social Navigation

Exploiting Proximity-Aware Tasks for Embodied Social Navigation

Enrico Cancelli, Tommaso Campari, Luciano Serafini, Angel X. Chang, Lamberto Ballan ICCV 2023 pdf Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments

Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments

Sonia Raychaudhuri, Shivansh Patel, Saim Wani, Unnat Jain, Angel X. Chang EMNLP 2021 (short) pdf | code | webpage Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents

Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents

Shivansh Patel*, Saim Wani*, Unnat Jain*, Alexander Schwing, Svetlana Lazebnik, Manolis Savva, Angel X. Chang ICCV 2021 pdf | code | webpage Rearrangement: A Challenge for Embodied AI

Rearrangement: A Challenge for Embodied AI

Dhruv Batra, Angel X. Chang, Sonia Chernova, Andrew J. Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, Manolis Savva, Hao Su arXiv:2011.01975 [cs.AI], November 2020 pdf Multi-ON: Benchmarking Semantic Map Memory using Multi-Object Navigation

Multi-ON: Benchmarking Semantic Map Memory using Multi-Object Navigation

Saim Wani*, Shivansh Patel*, Unnat Jain*, Angel X. Chang, Manolis Savva NeurIPS 2020 pdf | code | webpage On evaluation of embodied navigation agents

On evaluation of embodied navigation agents

Peter Anderson, Angel X. Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jitendra Malik, Roozbeh Mottaghi, Manolis Savva, Amir R. Zamir arXiv:1807.06757 [cs.AI], July 2018 pdf

Simulation platforms

Habitat 2.0: Training Home Assistants to Rearrange their Habitat

Habitat 2.0: Training Home Assistants to Rearrange their Habitat

Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimír Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel X. Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra NeurIPS 2021 pdf | code | post SAPIEN: a SimulAted Part-based Interactive ENvironment

SAPIEN: a SimulAted Part-based Interactive ENvironment

Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao (Shawn) Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas Guibas, Hao Su CVPR 2020 pdf | webpage MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments

MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments

Manolis Savva, Angel X. Chang, Alexey Dosovitskiy, Thomas Funkhouser, Vladlen Koltun arXiv:1712.03931 [cs.LG] pdf | code | video | webpage

Articulated objects for interactive environments

S2O: Static to Openable Enhancement for Articulated 3D Objects

S2O: Static to Openable Enhancement for Articulated 3D Objects

Denys Iliash, Hanxiao (Shawn) Jiang, Yiming Zhang, Manolis Savva, Angel X. Chang WACV 2026, arXiv:2409.18896 [cs.CV], September 2024 pdf | code | webpage SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects

SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects

Jiayi Liu, Denys Iliash, Angel X. Chang, Manolis Savva, Ali Mahdavi-Amiri ICLR 2025, arXiv:2410.16499 [cs.CV] pdf | code | webpage OPDMulti: Openable Part Detection for Multiple Objects

OPDMulti: Openable Part Detection for Multiple Objects

Xiaohao Sun*, Hanxiao (Shawn) Jiang*, Manolis Savva, Angel X. Chang 3DV 2024, arXiv:2303.14087 [cs.CV], arXiv March 2023 pdf | code | webpage MultiScan: Scalable RGBD scanning for 3D environments with articulated objects

MultiScan: Scalable RGBD scanning for 3D environments with articulated objects

Yongsen Mao, Yiming Zhang, Hanxiao (Shawn) Jiang, Angel X. Chang, Manolis Savva NeurIPS 2022 pdf | code | webpage Articulated 3D Human-Object Interactions from RGB Videos: An Empirical Analysis of Approaches and Challenges

Articulated 3D Human-Object Interactions from RGB Videos: An Empirical Analysis of Approaches and Challenges

Sanjay Haresh, Xiaohao Sun, Hanxiao (Shawn) Jiang, Angel X. Chang, Manolis Savva 3DV 2022 pdf | code | webpage OPD: Single-view 3D Openable Part Detection

OPD: Single-view 3D Openable Part Detection

Hanxiao (Shawn) Jiang, Yongsen Mao, Manolis Savva, Angel X. Chang ECCV 2022 pdf | code | webpage Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections

Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections

Xianghao Xu, David Charatan, Sonia Raychaudhuri, Hanxiao (Shawn) Jiang, Mae Heitmann, Vladmir Kim, Siddhartha Chaudhuri, Manolis Savva, Angel X. Chang, Daniel Ritchie 3DV 2020 pdf | code | demo | webpage

Datasets for 3D deep learning

Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation

Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation

Mukul Khanna*, Yongsen Mao*, Hanxiao (Shawn) Jiang, Sanjay Haresh, Brennan Shacklett, Dhruv Batra, Alexander William Clegg, Eric Undersander, Angel X. Chang, Manolis Savva CVPR 2024, arXiv:2306.11290 [cs.CV], arXiv June 2023 pdf | code | data | webpage Habitat-Matterport 3D Semantics Dataset

Habitat-Matterport 3D Semantics Dataset

Karmesh Yadav, Ram Ramrakhya, Santhosh K. Ramakrishnan, Theo Gervet, John Turner, Aaron Gokaslan, Noah Maestre, Angel X. Chang, Dhruv Batra, Manolis Savva, Alexander William Clegg, Devendra Singh Chaplot CVPR 2023 pdf | webpage Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI

Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI

Santhosh K. Ramakrishnan, Aaron Gokaslan, Erik Wijmans, Oleksandr Maksymets, Alexander Clegg, John Turner, Eric Undersander, Wojciech Galuba, Andrew Westbury, Angel X. Chang, Manolis Savva, Yili Zhao, Dhruv Batra NeurIPS Datasets and Benchmarks Track 2021 pdf | webpage Mirror3D: Depth Refinement for Mirror Surfaces

Mirror3D: Depth Refinement for Mirror Surfaces

Jiaqi Tan, Weijie (Lewis) Lin, Angel X. Chang, Manolis Savva CVPR 2021 pdf | code | webpage PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas Guibas, Hao Su CVPR 2019, arXiv:1812.02713 [cs.CV] pdf | video | webpage Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nießner CVPR 2019 (oral), arXiv:1811.11187 [cs.CV] pdf | code | video | benchmark Matterport3D: Learning from RGB-D Data in Indoor Environments

Matterport3D: Learning from RGB-D Data in Indoor Environments

Angel X. Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Nießner, Manolis Savva, Shuran Song, Andy Zeng, Yinda Zhang Proceedings of 3DV 2017, arXiv:1709.06158 [cs.CV] pdf | code | webpage ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, Matthias Nießner Proceedings of CVPR 2017 (spotlight), arXiv:1702.04405 [cs.CV] pdf | code | video | benchmark | webpage ShapeNet: An Information-Rich 3D Model Repository

ShapeNet: An Information-Rich 3D Model Repository

Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, Fisher Yu arXiv:1512.03012 [cs.GR], Dec 2015 pdf | bib | code | webpage

3D scene understanding and generation

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis

Xiaohao Sun, Divyam Goel, Angel X. Chang 3DV 2026, arXiv:2508.18597 [cs.GR], August 2025 pdf | webpage Diorama: Unleashing Zero-shot Single-view 3D Scene Modeling

Diorama: Unleashing Zero-shot Single-view 3D Scene Modeling

Qirui Wu, Denys Iliash, Daniel Ritchie, Manolis Savva, Angel X. Chang ICCV 2025, arXiv:2411.19492 [cs.CV] pdf | webpage Roominoes: Learning to Assemble 3D Rooms into Floor Plans

Roominoes: Learning to Assemble 3D Rooms into Floor Plans

Kai Wang, Xianghao Xu, Leon Lei, Selena Ling, Natalie Lindsay, Angel X. Chang, Manolis Savva, Daniel Ritchie SGP 2021 pdf | video Plan2Scene: Converting Floorplans to 3D Scenes

Plan2Scene: Converting Floorplans to 3D Scenes

Madhawa Vidanapathirana, Qirui Wu, Yasutaka Furukawa, Angel X. Chang, Manolis Savva CVPR 2021 pdf | code | webpage PlanIT: Planning and Instantiating Indoor Scenes with Relation Graph and Spatial Prior Networks

PlanIT: Planning and Instantiating Indoor Scenes with Relation Graph and Spatial Prior Networks

Kai Wang, Yu-An Lin, Ben Weissmann, Manolis Savva, Angel X. Chang, Daniel Ritchie SIGGRAPH 2019 pdf | code Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction

Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction

Yifei Shi, Angel X. Chang, Zhelun Wu, Manolis Savva, Kai Xu CVPR 2019, arXiv:1903.03757 [cs.CV] pdf | code | webpage Deep Convolutional Priors for Indoor Scene Synthesis

Deep Convolutional Priors for Indoor Scene Synthesis

Kai Wang, Manolis Savva, Angel X. Chang, Daniel Ritchie SIGGRAPH 2018 pdf | code Semantic Scene Completion from a Single Depth Image

Semantic Scene Completion from a Single Depth Image

Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, Thomas Funkhouser Proceedings of CVPR 2017 (oral), arXiv:1611.08974 [cs.CV] pdf | webpage

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