← Authors

Leonidas Guibas

110 papers · 2007–2025 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (13) 🌈 Renaissance Researcher (11) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (6) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (18) πŸ—ΊοΈ Taxonomy Completionist (15) 🏠 Conference Loyalist (20) 🌟 Keyword Trendsetter Combo (7) 🀝 Dynamic Duo (13) 🌱 Topic Pioneer πŸ† Keyword Champion πŸ”¬ Deep Specialist (32) 🧬 Topic Evolution πŸ”₯ Unstoppable (14) πŸš€ Conference Pioneer ⚑ Prolific Year (22) πŸ—ƒοΈ Keyword Collector (389) ❓ The Questioner πŸ’Ž Century Club (110) πŸ“ˆ Trend Setter

Conferences

CVPR (31) NIPS (20) ECCV (17) ICCV (10) CORL (8) ICLR (8) ICML (8) WACV (3) AISTATS (1) EMNLP (1) IJCAI (1) JMLR (1) RSS (1)

Top co-authors

Gordon Wetzstein (13) Congyue Deng (12) Kaichun Mo (9) Guandao Yang (7) Mikaela Angelina Uy (7) Hao Su (6) Yijia Weng (6) Yanchao Yang (6) Yang You (6) He Wang (6)

Research topics

Models (1) Probability (1) Education (1)

Keywords

3d reconstruction (12) neural radiance field (11) diffusion model (10) novel view synthesis (6) neural network (6) generative model (6) point cloud (6) 3d vision (6) representation learning (5) neural rendering (5) unsupervised learning (4) 3d shape (4) scene understanding (4) image generation (4) gaussian splatting (4) 3d generation (4) multimodal learning (3) zero-shot learning (3) visual question answering (3) generative adversarial network (3)

Papers

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