Leonidas Guibas

FUN REC * Reconstructing Functional 3D Scenes from Egocentric Interaction Videos CVPR 2026 RINO: Rotation-Invariant Non-Rigid Correspondences CVPR 2026 AllTracker: Efficient Dense Point Tracking at High Resolution ICCV 2025 ARCH: Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly CoRL 2025 BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing CVPR 2025 Diffusion Self-Distillation for Zero-Shot Customized Image Generation CVPR 2025 Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields CVPR 2025 FirePlace: Geometric Refinements of LLM Common Sense Reasoning for 3D Object Placement CVPR 2025 Gaussian Mixture Flow Matching Models ICML 2025 Global Motion Corresponder for 3D Point-Based Scene Interpolation under Large Motion ICCV 2025 GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling CVPR 2025 InfoGS: Efficient Structure-Aware 3D Gaussians via Lightweight Information Shaping ICLR 2025 MoMaps: Semantics-Aware Scene Motion Generation with Motion Maps ICCV 2025 MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds CVPR 2025 Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning ICLR 2025 Perspective-Aware Reasoning in Vision-Language Models via Mental Imagery Simulation ICCV 2025 Robot Learning from Any Images CoRL 2025 SceneCrafter: Controllable Multi-View Driving Scene Editing CVPR 2025 Self-Calibrating Gaussian Splatting for Large Field-of-View Reconstruction ICCV 2025 SplatTalk: 3D VQA with Gaussian Splatting ICCV 2025 SuperDec: 3D Scene Decomposition with Superquadrics Primitives ICCV 2025 Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images ICCV 2025 4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling CVPR 2024 ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling ECCV 2024 BlenderAlchemy: Editing 3D Graphics with Vision-Language Models ECCV 2024 CAD: Photorealistic 3D Generation via Adversarial Distillation CVPR 2024 Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control NeurIPS 2024 ConDense: Consistent 2D-3D Pre-training for Dense and Sparse Features from Multi-View Images ECCV 2024 D$^3$RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic Robotic Manipulation CoRL 2024 Denoising Vision Transformers ECCV 2024 GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation CVPR 2024 MultiPhys: Multi-Person Physics-aware 3D Motion Estimation CVPR 2024 Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping CoRL 2024 Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects CVPR 2024 NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis CVPR 2024 PACE: Pose Annotations in Cluttered Environments ECCV 2024 PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations ECCV 2024 Probing the 3D Awareness of Visual Foundation Models CVPR 2024 RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation CoRL 2024 SAGE: Bridging Semantic and Actionable Parts for GEneralizable Articulated-Object Manipulation under Language Instructions RSS 2024 SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation ICLR 2024 SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities CVPR 2024 View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields ECCV 2024 Zero-Shot Image Feature Consensus with Deep Functional Maps ECCV 2024 Affection: Learning Affective Explanations for Real-World Visual Data CVPR 2023 ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction CVPR 2023 Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance NeurIPS 2023 CC3D: Layout-Conditioned Generation of Compositional 3D Scenes ICCV 2023 DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion ICCV 2023 EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision CVPR 2023 FindThis: Language-Driven Object Disambiguation in Indoor Environments CoRL 2023 Generating Part-Aware Editable 3D Shapes Without 3D Supervision CVPR 2023 GINA-3D: Learning To Generate Implicit Neural Assets in the Wild CVPR 2023 JacobiNeRF: NeRF Shaping With Mutual Information Gradients CVPR 2023 LEGO-Net: Learning Regular Rearrangements of Objects in Rooms CVPR 2023 MetaCLUE: Towards Comprehensive Visual Metaphors Research CVPR 2023 NAP: Neural 3D Articulated Object Prior NeurIPS 2023 NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors CVPR 2023 Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation From 2D Supervision CVPR 2023 NeRF Revisited: Fixing Quadrature Instability in Volume Rendering NeurIPS 2023 SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates CVPR 2023 ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations CVPR 2023 SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene CVPR 2023 Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks ICML 2023 VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization CVPR 2023 IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes ICLR 2022 LADIS: Language Disentanglement for 3D Shape Editing EMNLP 2022 NeuForm: Adaptive Overfitting for Neural Shape Editing NeurIPS 2022 Object Pursuit: Building a Space of Objects via Discriminative Weight Generation ICLR 2022 Object Scene Representation Transformer NeurIPS 2022 Unsupervised Discovery of Object Radiance Fields ICLR 2022 VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects ICLR 2022 Continuous Geodesic Convolutions for Learning on 3D Shapes WACV 2021 Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks NeurIPS 2021 Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds NeurIPS 2021 O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning CoRL 2021 Representation Learning Through Latent Canonicalizations WACV 2021 SketchGen: Generating Constrained CAD Sketches NeurIPS 2021 6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference ECCV 2020 CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations NeurIPS 2020 Deformation-Aware 3D Model Embedding and Retrieval ECCV 2020 Generative 3D Part Assembly via Dynamic Graph Learning NeurIPS 2020 Learning 3D Part Assembly from a Single Image ECCV 2020 PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding ECCV 2020 Predicting the Physical Dynamics of Unseen 3D Objects WACV 2020 PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions ECCV 2020 Quaternion Equivariant Capsule Networks for 3D Point Clouds ECCV 2020 ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes ECCV 2020 ShapeFlow: Learnable Deformation Flows Among 3D Shapes NeurIPS 2020 Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks ECCV 2020 Towards Precise Completion of Deformable Shapes ECCV 2020 Which Tasks Should Be Learned Together in Multi-task Learning? ICML 2020 A Condition Number for Joint Optimization of Cycle-Consistent Networks NeurIPS 2019 Learning to Navigate Using Mid-Level Visual Priors CoRL 2019 Multiview Aggregation for Learning Category-Specific Shape Reconstruction NeurIPS 2019 PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks ICLR 2019 Taskonomy: Disentangling Task Transfer Learning IJCAI 2019 Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions NeurIPS 2018 Learning Representations and Generative Models for 3D Point Clouds ICML 2018 PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space NeurIPS 2017 FPNN: Field Probing Neural Networks for 3D Data NeurIPS 2016 Deep Knowledge Tracing NeurIPS 2015 Learning Program Embeddings to Propagate Feedback on Student Code ICML 2015 Near-Optimal Joint Object Matching via Convex Relaxation ICML 2014 Scalable Semidefinite Relaxation for Maximum A Posterior Estimation ICML 2014 Stable and Informative Spectral Signatures for Graph Matching CVPR 2014 Wasserstein Propagation for Semi-Supervised Learning ICML 2014 Graph Matching with Anchor Nodes: A Learning Approach CVPR 2013 Wavelets on Graphs via Deep Learning NeurIPS 2013 Detecting Network Cliques with Radon Basis Pursuit AISTATS 2012 Fourier Theoretic Probabilistic Inference over Permutations JMLR 2009 Efficient Inference for Distributions on Permutations NeurIPS 2007 Exploiting Probabilistic Independence for Permutations AISTATS 2005