Angel Xuan Chang | Angel Xuan Chang
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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
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
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
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
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
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
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
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
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
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
Sonia Raychaudhuri, Angel X. Chang TMLR August 2025, arXiv:2501.05750 [cs.CV] pdf
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
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
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
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
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
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
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
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
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
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
Yiming Zhang, Zeming Gong, Angel X. Chang ICCV 2023 pdf | code | webpage
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
Dave Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang ECCV 2022 pdf | code | webpage
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
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
Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner ECCV 2020 pdf | code | benchmark | webpageLanguage based content creation
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
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
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
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
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
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
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
Angel X. Chang, Manolis Savva, Christopher D. Manning Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014) pdf | bib | webpageBIOSCAN
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
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
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
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
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 | webpageEmbodied AI
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
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
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
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
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
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
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
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
Saim Wani*, Shivansh Patel*, Unnat Jain*, Angel X. Chang, Manolis Savva NeurIPS 2020 pdf | code | webpage
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 pdfSimulation platforms
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
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 | webpageMINOS: 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 | webpageArticulated objects for interactive environments
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
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
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
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
Sanjay Haresh, Xiaohao Sun, Hanxiao (Shawn) Jiang, Angel X. Chang, Manolis Savva 3DV 2022 pdf | code | webpage
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
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 | webpageDatasets for 3D deep learning
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
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
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
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
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
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
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
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
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 | webpage3D scene understanding and generation
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
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
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
Madhawa Vidanapathirana, Qirui Wu, Yasutaka Furukawa, Angel X. Chang, Manolis Savva CVPR 2021 pdf | code | webpagePlanIT: 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
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
Kai Wang, Manolis Savva, Angel X. Chang, Daniel Ritchie SIGGRAPH 2018 pdf | code
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 | webpageTừ khóa » Pd Xuân
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