Leonidas J. Guibas

ORCID

Publication Activity (10 Years)

Years Active: 1974-2024
Publications (10 Years): 379

Top Venues

Publications

Boxiao Pan, Zhan Xu, Chun-Hao Paul Huang, Krishna Kumar Singh, Yang Zhou, Leonidas J. Guibas, Jimei Yang
ActAnywhere: Subject-Aware Video Background Generation. CoRR (2024)
Tong Wu, Guandao Yang, Zhibing Li, Kai Zhang, Ziwei Liu, Leonidas J. Guibas, Dahua Lin, Gordon Wetzstein
GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation. CoRR (2024)
Xinglong Sun, Adam W. Harley, Leonidas J. Guibas
Refining Pre-Trained Motion Models. CoRR (2024)
Kiyohiro Nakayama, Mikaela Angelina Uy, Yang You, Ke Li, Leonidas J. Guibas
ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process. CoRR (2024)
Boyuan Chen, Zhuo Xu, Sean Kirmani, Brian Ichter, Danny Driess, Pete Florence, Dorsa Sadigh, Leonidas J. Guibas, Fei Xia
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities. CoRR (2024)
Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas J. Guibas, Ke Li
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering. NeurIPS (2023)
Ian Huang, Vrishab Krishna, Omoruyi Atekha, Leonidas J. Guibas
Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions. CoRR (2023)
Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas J. Guibas
NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis. CoRR (2023)
Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J. Guibas
DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion. CoRR (2023)
Colton Stearns, Jiateng Liu, Davis Rempe, Despoina Paschalidou, Jeong Joon Park, Sebastien Mascha, Leonidas J. Guibas
CurveCloudNet: Processing Point Clouds with 1D Structure. CoRR (2023)
Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas
JacobiNeRF: NeRF Shaping with Mutual Information Gradients. CVPR (2023)
Ali Kashefi, Leonidas J. Guibas, Tapan Mukerji
Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity. CoRR (2023)
Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas J. Guibas, Ke Li
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering. CoRR (2023)
Congyue Deng, Jiahui Lei, Bokui Shen, Kostas Daniilidis, Leonidas J. Guibas
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance. CoRR (2023)
Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas J. Guibas, Gordon Wetzstein, Sameh Khamis
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization. SIGGRAPH (Conference Paper Track) (2023)
Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas J. Guibas, Andrea Tagliasacchi
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes. ICCV (2023)
George Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J. Guibas
DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion. ICCV (2023)
Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates. CVPR (2023)
Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu
Multiway Non-Rigid Point Cloud Registration via Learned Functional Map Synchronization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Kunho Kim, Mikaela Angelina Uy, Despoina Paschalidou, Alec Jacobson, Leonidas J. Guibas, Minhyuk Sung
OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation. CoRR (2023)
Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas
COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos. ICCV (2023)
Ziyu Wan, Despoina Paschalidou, Ian Huang, Hongyu Liu, Bokui Shen, Xiaoyu Xiang, Jing Liao, Leonidas J. Guibas
CAD: Photorealistic 3D Generation via Adversarial Distillation. CoRR (2023)
Xiaoshuai Zhang, Abhijit Kundu, Thomas A. Funkhouser, Leonidas J. Guibas, Hao Su, Kyle Genova
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision. CVPR (2023)
Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao
DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation. ACM Trans. Graph. 42 (1) (2023)
Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas J. Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David B. Lindell
4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling. CoRR (2023)
Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometry. CoRR (2023)
Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas J. Guibas
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms. CoRR (2023)
Jiahui Lei, Congyue Deng, Karl Schmeckpeper, Leonidas J. Guibas, Kostas Daniilidis
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision. CVPR (2023)
Haoran Geng, Songlin Wei, Congyue Deng, Bokui Shen, He Wang, Leonidas J. Guibas
SAGE: Bridging Semantic and Actionable Parts for GEneralizable Articulated-Object Manipulation under Language Instructions. CoRR (2023)
Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Z. Emiris, Yannis Avrithis, Leonidas J. Guibas
Generating Part-Aware Editable 3D Shapes without 3D Supervision. CVPR (2023)
Congyue Deng, Jiawei Yang, Leonidas J. Guibas, Yue Wang
Rethinking Directional Integration in Neural Radiance Fields. CoRR (2023)
Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas J. Guibas
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization. CoRR (2023)
Congyue Deng, Jiahui Lei, William B. Shen, Kostas Daniilidis, Leonidas J. Guibas
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance. NeurIPS (2023)
Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas J. Guibas, Gordon Wetzstein, Sameh Khamis
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization. CoRR (2023)
Nikolaos Zygouras, Nikolaos Panagiotou, Yang Li, Dimitrios Gunopulos, Leonidas J. Guibas
HTTE: A Hybrid Technique For Travel Time Estimation In Sparse Data Environments. CoRR (2023)
Panos Achlioptas, Ian Huang, Minhyuk Sung, Sergey Tulyakov, Leonidas J. Guibas
ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations. CVPR (2023)
Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas J. Guibas, Katerina Fragkiadaki
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. CoRR (2023)
Ivica Kicic, Pantelis R. Vlachas, Georgios Arampatzis, Michail Chatzimanolakis, Leonidas J. Guibas, Petros Koumoutsakos
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems. CoRR (2023)
Yang You, Bokui Shen, Congyue Deng, Haoran Geng, He Wang, Leonidas J. Guibas
Make a Donut: Language-Guided Hierarchical EMD-Space Planning for Zero-shot Deformable Object Manipulation. CoRR (2023)
Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CVPR (2023)
Panos Achlioptas, Maks Ovsjanikov, Leonidas J. Guibas, Sergey Tulyakov
Affection: Learning Affective Explanations for Real-World Visual Data. CVPR (2023)
Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas J. Guibas
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks. ICML (2023)
Yichen Li, Kaichun Mo, Yueqi Duan, He Wang, Jiequan Zhang, Lin Shao, Wojciech Matusik, Leonidas J. Guibas
Category-Level Multi-Part Multi-Joint 3D Shape Assembly. CoRR (2023)
Carlota Parés-Morlans, Claire Chen, Yijia Weng, Michelle Yi, Yuying Huang, Nick Heppert, Linqi Zhou, Leonidas J. Guibas, Jeannette Bohg
AO-Grasp: Articulated Object Grasp Generation. CoRR (2023)
Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas
JacobiNeRF: NeRF Shaping with Mutual Information Gradients. CoRR (2023)
Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Z. Emiris, Yannis Avrithis, Leonidas J. Guibas
PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision. CoRR (2023)
Kunho Kim, Mikaela Angelina Uy, Despoina Paschalidou, Alec Jacobson, Leonidas J. Guibas, Minhyuk Sung
OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation. Comput. Graph. Forum 42 (7) (2023)
Xiaoshuai Zhang, Abhijit Kundu, Thomas A. Funkhouser, Leonidas J. Guibas, Hao Su, Kyle Genova
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision. CoRR (2023)
Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CVPR (2023)
Yang Zheng, Adam W. Harley, Bokui Shen, Gordon Wetzstein, Leonidas J. Guibas
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking. ICCV (2023)
Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas J. Guibas, Achuta Kadambi
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction. CVPR (2023)
Yang Zheng, Adam W. Harley, Bokui Shen, Gordon Wetzstein, Leonidas J. Guibas
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking. CoRR (2023)
Jiahui Lei, Congyue Deng, William B. Shen, Leonidas J. Guibas, Kostas Daniilidis
NAP: Neural 3D Articulated Object Prior. NeurIPS (2023)
Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas J. Guibas
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks. CoRR (2023)
Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas J. Guibas, Andrea Tagliasacchi
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes. CoRR (2023)
Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CVPR (2023)
Minjung Son, Jeong Joon Park, Leonidas J. Guibas, Gordon Wetzstein
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene. CVPR (2023)
Qianxu Wang, Haotong Zhang, Congyue Deng, Yang You, Hao Dong, Yixin Zhu, Leonidas J. Guibas
SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation. CoRR (2023)
Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas J. Guibas
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization. CVPR (2023)
Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CoRR (2023)
Arjun Majumdar, Fei Xia, Brian Ichter, Dhruv Batra, Leonidas J. Guibas
FindThis: Language-Driven Object Disambiguation in Indoor Environments. CoRL (2023)
Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Nikhil Raghuraman, Adam W. Harley, Leonidas J. Guibas
Cross-Image Context Matters for Bongard Problems. CoRR (2023)
Jingyun Yang, Congyue Deng, Jimmy Wu, Rika Antonova, Leonidas J. Guibas, Jeannette Bohg
EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation. CoRR (2023)
Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas J. Guibas
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms. CVPR (2023)
Guandao Yang, Abhijit Kundu, Leonidas J. Guibas, Jonathan T. Barron, Ben Poole
Learning a Diffusion Prior for NeRFs. CoRR (2023)
Jiahui Lei, Congyue Deng, Bokui Shen, Leonidas J. Guibas, Kostas Daniilidis
NAP: Neural 3D Articulation Prior. CoRR (2023)
Jiahui Lei, Congyue Deng, Karl Schmeckpeper, Leonidas J. Guibas, Kostas Daniilidis
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision. CoRR (2023)
Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates. CoRR (2023)
Yongheng Zhao, Guangchi Fang, Yulan Guo, Leonidas J. Guibas, Federico Tombari, Tolga Birdal
3DPointCaps++: Learning 3D Representations with Capsule Networks. Int. J. Comput. Vis. 130 (9) (2022)
Haowen Deng, Mai Bui, Nassir Navab, Leonidas J. Guibas, Slobodan Ilic, Tolga Birdal
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation. Int. J. Comput. Vis. 130 (7) (2022)
Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders. CVPR (2022)
Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior. CVPR (2022)
Sidhika Balachandar, Adrien Poulenard, Congyue Deng, Leonidas J. Guibas
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks. CoRR (2022)
Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C. Karen Liu, Leonidas J. Guibas
GIMO: Gaze-Informed Human Motion Prediction in Context. CoRR (2022)
Bokui Shen, Zhenyu Jiang, Christopher B. Choy, Silvio Savarese, Leonidas J. Guibas, Anima Anandkumar, Yuke Zhu
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. Robotics: Science and Systems (2022)
Qi Li, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas J. Guibas
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes. ICLR (2022)
Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CoRR (2022)
Adrien Poulenard, Maks Ovsjanikov, Leonidas J. Guibas
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution. CoRR (2022)
Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C. Karen Liu, Leonidas J. Guibas
GIMO: Gaze-Informed Human Motion Prediction in Context. ECCV (13) (2022)
Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. CoRR (2022)
Qihang Fang, Yingda Yin, Qingnan Fan, Fei Xia, Siyan Dong, Sheng Wang, Jue Wang, Leonidas J. Guibas, Baoquan Chen
Towards Accurate Active Camera Localization. ECCV (10) (2022)
Bokui Shen, Zhenyu Jiang, Christopher B. Choy, Leonidas J. Guibas, Silvio Savarese, Anima Anandkumar, Yuke Zhu
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. CoRR (2022)
Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. CVPR (2022)
Hanxiang Ren, Yanchao Yang, He Wang, Bokui Shen, Qingnan Fan, Youyi Zheng, C. Karen Liu, Leonidas J. Guibas
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Shift in Semantic Segmentation. CVPR (2022)
Connor Z. Lin, Niloy J. Mitra, Gordon Wetzstein, Leonidas J. Guibas, Paul Guerrero
NeuForm: Adaptive Overfitting for Neural Shape Editing. NeurIPS (2022)
Rahul Sajnani, Adrien Poulenard, Jivitesh Jain, Radhika Dua, Leonidas J. Guibas, Srinath Sridhar
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes. CoRR (2022)
Yuefan Shen, Yanchao Yang, Mi Yan, He Wang, Youyi Zheng, Leonidas J. Guibas
Domain Adaptation on Point Clouds via Geometry-Aware Implicits. CVPR (2022)
Panos Achlioptas, Maks Ovsjanikov, Leonidas J. Guibas, Sergey Tulyakov
Affection: Learning Affective Explanations for Real-World Visual Data. CoRR (2022)
Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu
Unsupervised Discovery of Object Radiance Fields. ICLR (2022)
Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas
SpOT: Spatiotemporal Modeling for 3D Object Tracking. CoRR (2022)
Juil Koo, Ian Huang, Panos Achlioptas, Leonidas J. Guibas, Minhyuk Sung
PartGlot: Learning Shape Part Segmentation from Language Reference Games. CVPR (2022)
Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma
Directed Weight Neural Networks for Protein Structure Representation Learning. CoRR (2022)
Connor Z. Lin, Niloy J. Mitra, Gordon Wetzstein, Leonidas J. Guibas, Paul Guerrero
NeuForm: Adaptive Overfitting for Neural Shape Editing. CoRR (2022)
Minjung Son, Jeong Joon Park, Leonidas J. Guibas, Gordon Wetzstein
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene. CoRR (2022)
Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CoRR (2022)
Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan, Leonidas J. Guibas
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation. ICLR (2022)
Ian Huang, Panos Achlioptas, Tianyi Zhang, Sergey Tulyakov, Minhyuk Sung, Leonidas J. Guibas
LADIS: Language Disentanglement for 3D Shape Editing. EMNLP (Findings) (2022)
Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas J. Guibas, Achuta Kadambi
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction. CoRR (2022)
Ian Huang, Panos Achlioptas, Tianyi Zhang, Sergey Tulyakov, Minhyuk Sung, Leonidas J. Guibas
LADIS: Language Disentanglement for 3D Shape Editing. CoRR (2022)

Leonidas J. Guibas.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Leonidas J. Guibas