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ORCIDLeonidas J. Guibas
Person information
- affiliation: Stanford University, USA
- award (2007): ACM - AAAI Allen Newell Award
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2020 – today
- 2024
[j228]Bokui Shen
, Zhenyu Jiang, Christopher Bongsoo Choy, Silvio Savarese, Leonidas J. Guibas, Anima Anandkumar, Yuke Zhu:
Action-conditional implicit visual dynamics for deformable object manipulation. Int. J. Robotics Res. 43(4): 437-455 (2024)- [j227]Jia-Mu Sun, Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao:
Haisor: Human-aware Indoor Scene Optimization via Deep Reinforcement Learning. ACM Trans. Graph. 43(2): 15:1-15:17 (2024) - [c387]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. CVPR 2024: 947-957 - [c386]Nicolas Ugrinovic, Boxiao Pan, Georgios Pavlakos, Despoina Paschalidou, Bokui Shen, Jordi Sanchez-Riera, Francesc Moreno-Noguer, Leonidas J. Guibas:
MultiPhys: Multi-Person Physics-Aware 3D Motion Estimation. CVPR 2024: 2331-2340 - [c385]Yijia Weng, Bowen Wen, Jonathan Tremblay, Valts Blukis, Dieter Fox, Leonidas J. Guibas, Stan Birchfield:
Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects. CVPR 2024: 3141-3150 - [c384]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. CVPR 2024: 3281-3291 - [c383]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. CVPR 2024: 7996-8006 - [c382]Ziyu Wan, Despoina Paschalidou, Ian Huang, Hongyu Liu, Bokui Shen, Xiaoyu Xiang, Jing Liao, Leonidas J. Guibas:
CAD : Photorealistic 3D Generation via Adversarial Distillation. CVPR 2024: 10194-10207 - [c381]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. ICLR 2024 - [c380]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. ICRA 2024: 4916-4923 - [c379]Xinglong Sun, Adam W. Harley, Leonidas J. Guibas:
Refining Pre-Trained Motion Models. ICRA 2024: 4932-4938 - [c378]Jingyun Yang, Congyue Deng, Jimmy Wu, Rika Antonova, Leonidas J. Guibas, Jeannette Bohg:
EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation. ICRA 2024: 9249-9255 - [c377]Zilu Li, Guandao Yang, Qingqing Zhao, Xi Deng, Leonidas J. Guibas, Bharath Hariharan, Gordon Wetzstein:
Neural Control Variates with Automatic Integration. SIGGRAPH (Conference Paper Track) 2024: 10 - [c376]Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein:
Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion. SIGGRAPH (Conference Paper Track) 2024: 27 - [i218]Xinglong Sun, Adam W. Harley, Leonidas J. Guibas:
Refining Pre-Trained Motion Models. CoRR abs/2401.00850 (2024) - [i217]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 abs/2401.04092 (2024) - [i216]Kiyohiro Nakayama, Mikaela Angelina Uy, Yang You, Ke Li, Leonidas J. Guibas:
ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process. CoRR abs/2401.08140 (2024) - [i215]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 abs/2401.10822 (2024) - [i214]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 abs/2401.12168 (2024) - [i213]Francis Engelmann, Ayça Takmaz, Jonas Schult, Elisabetta Fedele, Johanna Wald, Songyou Peng, Xi Wang, Or Litany, Siyu Tang, Federico Tombari, Marc Pollefeys, Leonidas J. Guibas, Hongbo Tian, Chunjie Wang, Xiaosheng Yan, Bingwen Wang, Xuanyang Zhang, Xiao Liu, Phuc Nguyen, Khoi Nguyen, Anh Tran, Cuong Pham, Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby:
OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding. CoRR abs/2402.15321 (2024) - [i212]Hansheng Chen, Ruoxi Shi, Yulin Liu, Bokui Shen, Jiayuan Gu, Gordon Wetzstein, Hao Su, Leonidas J. Guibas:
Generic 3D Diffusion Adapter Using Controlled Multi-View Editing. CoRR abs/2403.12032 (2024) - [i211]Xinle Cheng, Congyue Deng, Adam W. Harley, Yixin Zhu, Leonidas J. Guibas:
Zero-Shot Image Feature Consensus with Deep Functional Maps. CoRR abs/2403.12038 (2024) - [i210]Yijia Weng, Bowen Wen, Jonathan Tremblay, Valts Blukis, Dieter Fox, Leonidas J. Guibas, Stan Birchfield:
Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects. CoRR abs/2404.01440 (2024) - [i209]Yang Zheng, Qingqing Zhao, Guandao Yang, Wang Yifan, Donglai Xiang, Florian Dubost, Dmitry Lagun, Thabo Beeler, Federico Tombari, Leonidas J. Guibas, Gordon Wetzstein:
PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations. CoRR abs/2404.04421 (2024) - [i208]Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani:
Probing the 3D Awareness of Visual Foundation Models. CoRR abs/2404.08636 (2024) - [i207]Nicolas Ugrinovic, Boxiao Pan, Georgios Pavlakos, Despoina Paschalidou, Bokui Shen, Jordi Sanchez-Riera, Francesc Moreno-Noguer, Leonidas J. Guibas:
MultiPhys: Multi-Person Physics-aware 3D Motion Estimation. CoRR abs/2404.11987 (2024) - [i206]Ian Huang, Guandao Yang, Leonidas J. Guibas:
BlenderAlchemy: Editing 3D Graphics with Vision-Language Models. CoRR abs/2404.17672 (2024) - [i205]Zhengfei Kuang, Shengqu Cai, Hao He, Yinghao Xu, Hongsheng Li, Leonidas J. Guibas, Gordon Wetzstein:
Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control. CoRR abs/2405.17414 (2024) - [i204]Jiahui Lei, Yijia Weng, Adam W. Harley, Leonidas J. Guibas, Kostas Daniilidis:
MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds. CoRR abs/2405.17421 (2024) - [i203]Haodi He, Colton Stearns, Adam W. Harley, Leonidas J. Guibas:
View-Consistent Hierarchical 3D SegmentationUsing Ultrametric Feature Fields. CoRR abs/2405.19678 (2024) - [i202]Yunchao Zhang, Guandao Yang, Leonidas J. Guibas, Yanchao Yang:
InfoGaussian: Structure-Aware Dynamic Gaussians through Lightweight Information Shaping. CoRR abs/2406.05897 (2024) - [i201]Colton Stearns, Adam W. Harley, Mikaela Uy, Florian Dubost, Federico Tombari, Gordon Wetzstein, Leonidas J. Guibas:
Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos. CoRR abs/2406.18717 (2024) - [i200]Sara Sabour, Lily Goli, George Kopanas, Mark J. Matthews, Dmitry Lagun, Leonidas J. Guibas, Alec Jacobson, David J. Fleet, Andrea Tagliasacchi:
SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting. CoRR abs/2406.20055 (2024) - [i199]Yuxuan Kuang, Junjie Ye, Haoran Geng, Jiageng Mao, Congyue Deng, Leonidas J. Guibas, He Wang, Yue Wang:
RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation. CoRR abs/2407.04689 (2024) - [i198]Songlin Li, Despoina Paschalidou, Leonidas J. Guibas:
PASTA: Controllable Part-Aware Shape Generation with Autoregressive Transformers. CoRR abs/2407.13677 (2024) - [i197]Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein:
Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion. CoRR abs/2407.13759 (2024) - [i196]Yang You, Mikaela Angelina Uy, Jiaqi Han, Rahul Krishna Thomas, Haotong Zhang, Suya You, Leonidas J. Guibas:
Img2CAD: Reverse Engineering 3D CAD Models from Images through VLM-Assisted Conditional Factorization. CoRR abs/2408.01437 (2024) - [i195]Rundong Luo, Haoran Geng, Congyue Deng, Puhao Li, Zan Wang, Baoxiong Jia, Leonidas J. Guibas, Siyuan Huang:
PhysPart: Physically Plausible Part Completion for Interactable Objects. CoRR abs/2408.13724 (2024) - [i194]Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou, Soham Ghosh, Danushen Gnanapragasam, Varun Jampani, Hao Su, Leonidas J. Guibas:
ConDense: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images. CoRR abs/2408.17027 (2024) - 2023
- [j226]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) - [j225]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): 2038-2053 (2023) - [j224]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): 8902-8919 (2023) - [j223]Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas J. Guibas, Luc Van Gool, Radu Timofte:
3D-Aware Video Generation. Trans. Mach. Learn. Res. 2023 (2023) - [j222]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): 1:1-1:17 (2023) - [c375]Arjun Majumdar, Fei Xia, Brian Ichter, Dhruv Batra, Leonidas J. Guibas:
FindThis: Language-Driven Object Disambiguation in Indoor Environments. CoRL 2023: 1335-1347 - [c374]Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas J. Guibas:
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization. CVPR 2023: 35-45 - [c373]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: 259-270 - [c372]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: 4466-4478 - [c371]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: 4902-4912 - [c370]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: 4913-4926 - [c369]Panos Achlioptas, Maks Ovsjanikov, Leonidas J. Guibas, Sergey Tulyakov:
Affection: Learning Affective Explanations for Real-World Visual Data. CVPR 2023: 6641-6651 - [c368]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: 8274-8284 - [c367]Minjung Son, Jeong Joon Park, Leonidas J. Guibas, Gordon Wetzstein:
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene. CVPR 2023: 8507-8517 - [c366]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: 12685-12694 - [c365]Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas:
JacobiNeRF: NeRF Shaping with Mutual Information Gradients. CVPR 2023: 16498-16507 - [c364]Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li:
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates. CVPR 2023: 16518-16527 - [c363]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: 19037-19047 - [c362]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: 20637-20647 - [c361]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: 23201-23211 - [c360]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: 5239-5249 - [c359]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: 7137-7147 - [c358]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: 14211-14221 - [c357]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: 19798-19808 - [c356]Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas J. Guibas:
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks. ICML 2023: 36958-36977 - [c355]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 - [c354]Jiahui Lei, Congyue Deng, William B. Shen, Leonidas J. Guibas, Kostas Daniilidis:
NAP: Neural 3D Articulated Object Prior. NeurIPS 2023 - [c353]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 - [c352]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: 83:1-83:12 - [i193]Nikolaos Zygouras, Nikolaos Panagiotou, Yang Li, Dimitrios Gunopulos, Leonidas J. Guibas:
HTTE: A Hybrid Technique For Travel Time Estimation In Sparse Data Environments. CoRR abs/2301.05293 (2023) - [i192]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 abs/2301.09629 (2023) - [i191]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 abs/2302.10237 (2023) - [i190]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 abs/2303.03361 (2023) - [i189]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 abs/2303.06163 (2023) - [i188]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 abs/2303.09554 (2023) - [i187]Colton Stearns, Jiateng Liu, Davis Rempe, Despoina Paschalidou, Jeong Joon Park, Sebastien Mascha, Leonidas J. Guibas:
CurveCloudNet: Processing Point Clouds with 1D Structure. CoRR abs/2303.12050 (2023) - [i186]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 abs/2303.12074 (2023) - [i185]Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li:
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates. CoRR abs/2303.13582 (2023) - [i184]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 abs/2303.13634 (2023) - [i183]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 abs/2303.15440 (2023) - [i182]Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas J. Guibas:
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization. CoRR abs/2303.17968 (2023) - [i181]Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas:
JacobiNeRF: NeRF Shaping with Mutual Information Gradients. CoRR abs/2304.00341 (2023) - [i180]Ivica Kicic, Pantelis-Rafail Vlachas, Georgios Arampatzis, Michail Chatzimanolakis, Leonidas J. Guibas, Petros Koumoutsakos:
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems. CoRR abs/2304.01732 (2023) - [i179]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 abs/2304.02163 (2023) - [i178]Guandao Yang, Abhijit Kundu, Leonidas J. Guibas, Jonathan T. Barron, Ben Poole:
Learning a Diffusion Prior for NeRFs. CoRR abs/2304.14473 (2023) - [i177]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 abs/2305.01921 (2023) - [i176]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 abs/2305.03043 (2023) - [i175]Congyue Deng, Jiahui Lei, Bokui Shen, Kostas Daniilidis, Leonidas J. Guibas:
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance. CoRR abs/2305.16314 (2023) - [i174]Jiahui Lei, Congyue Deng, Bokui Shen, Leonidas J. Guibas, Kostas Daniilidis:
NAP: Neural 3D Articulation Prior. CoRR abs/2305.16315 (2023) - [i173]Ian Huang, Vrishab Krishna, Omoruyi Atekha, Leonidas J. Guibas:
Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions. CoRR abs/2306.06212 (2023) - [i172]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 abs/2307.07511 (2023) - [i171]Yang Zheng, Adam W. Harley, Bokui Shen, Gordon Wetzstein, Leonidas J. Guibas:
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking. CoRR abs/2307.15055 (2023) - [i170]Nikhil Raghuraman, Adam W. Harley, Leonidas J. Guibas:
Cross-Image Context Matters for Bongard Problems. CoRR abs/2309.03468 (2023) - [i169]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 abs/2309.12899 (2023) - [i168]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 abs/2310.06992 (2023) - [i167]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 abs/2310.15928 (2023) - [i166]Jingyun Yang, Congyue Deng, Jimmy Wu, Rika Antonova, Leonidas J. Guibas, Jeannette Bohg:
EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation. CoRR abs/2310.16050 (2023) - [i165]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 abs/2310.16838 (2023) - [i164]Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas J. Guibas, Ke Li:
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering. CoRR abs/2310.20685 (2023) - [i163]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 abs/2311.02787 (2023) - [i162]Congyue Deng, Jiawei Yang, Leonidas J. Guibas, Yue Wang:
Rethinking Directional Integration in Neural Radiance Fields. CoRR abs/2311.16504 (2023) - [i161]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 abs/2311.17984 (2023) - [i160]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 abs/2312.01307 (2023) - [i159]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 abs/2312.06663 (2023) - [i158]Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas J. Guibas:
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks. CoRR abs/2312.15610 (2023) - 2022
- [j221]Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà:
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