Leonidas Guibas

73

Papers

14,179

Total Citations

Papers (73)

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

NeurIPS 2017arXiv

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities

4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling

Probing the 3D Awareness of Visual Foundation Models

NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis

Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects

Deformation-Aware 3D Model Embedding and Retrieval

Category-Level Multi-Part Multi-Joint 3D Shape Assembly

AllTracker: Efficient Dense Point Tracking at High Resolution

FirePlace: Geometric Refinements of LLM Common Sense Reasoning for 3D Object Placement

AIpparel: A Multimodal Foundation Model for Digital Garments

SceneCrafter: Controllable Multi-View Driving Scene Editing

GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling

LookOut: Real-World Humanoid Egocentric Navigation

MultiPhys: Multi-Person Physics-aware 3D Motion Estimation

CAD: Photorealistic 3D Generation via Adversarial Distillation

CurveCloudNet: Processing Point Clouds with 1D Structure

SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates

EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision

VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization

Affection: Learning Affective Explanations for Real-World Visual Data

MetaCLUE: Towards Comprehensive Visual Metaphors Research

Generating Part-Aware Editable 3D Shapes Without 3D Supervision

NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors

SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene

ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations

Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation From 2D Supervision

LEGO-Net: Learning Regular Rearrangements of Objects in Rooms

ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction

GINA-3D: Learning To Generate Implicit Neural Assets in the Wild

JacobiNeRF: NeRF Shaping With Mutual Information Gradients

CC3D: Layout-Conditioned Generation of Compositional 3D Scenes

DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion

Quaternion Equivariant Capsule Networks for 3D Point Clouds

ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks

Learning 3D Part Assembly from a Single Image

PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions

6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference

Towards Precise Completion of Deformable Shapes

Deep Knowledge Tracing

NeurIPS 2015arXiv

FPNN: Field Probing Neural Networks for 3D Data

NeurIPS 2016arXiv

HouseLayout3D: A Benchmark and Training-free Baseline for 3D Layout Estimation in the Wild

NeurIPS 2025arXiv

BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing

MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds

Diffusion Self-Distillation for Zero-Shot Customized Image Generation

Perspective-Aware Reasoning in Vision-Language Models via Mental Imagery Simulation

SplatTalk: 3D VQA with Gaussian Splatting

CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization

Global Motion Corresponder for 3D Point-Based Scene Interpolation under Large Motion

MoMaps: Semantics-Aware Scene Motion Generation with Motion Maps

Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images

SuperDec: 3D Scene Decomposition with Superquadrics Primitives

Self-Calibrating Gaussian Splatting for Large Field-of-View Reconstruction

Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields

GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation

Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions

Multiview Aggregation for Learning Category-Specific Shape Reconstruction

A Condition Number for Joint Optimization of Cycle-Consistent Networks

Generative 3D Part Assembly via Dynamic Graph Learning

ShapeFlow: Learnable Deformation Flows Among 3D Shapes

CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations

SketchGen: Generating Constrained CAD Sketches

Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks

Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds

Object Scene Representation Transformer

NeuForm: Adaptive Overfitting for Neural Shape Editing

NeRF Revisited: Fixing Quadrature Instability in Volume Rendering

NAP: Neural 3D Articulated Object Prior

Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance

Learning Program Embeddings to Propagate Feedback on Student Code

Learning Representations and Generative Models for 3D Point Clouds