Or Litany

papers

3,984

total citations

papers (24)

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

ECCV 2020arXiv

760

citations

LION: Latent Point Diffusion Models for 3D Shape Generation

NEURIPS 2022arXiv

634

citations

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

NEURIPS 2022arXiv

564

citations

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion

CVPR 2023arXiv

156

citations

3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection

CVPR 2021arXiv

146

citations

Neural Kernel Surface Reconstruction

CVPR 2023arXiv

120

citations

Weakly Supervised Learning of Rigid 3D Scene Flow

CVPR 2021arXiv

citations

Neural Fields As Learnable Kernels for 3D Reconstruction

CVPR 2022arXiv

citations

Neural LiDAR Fields for Novel View Synthesis

ICCV 2023arXiv

citations

DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer

NEURIPS 2021arXiv

citations

UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes

CVPR 2024arXiv

citations

3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features

CVPR 2024arXiv

citations

The Nerfect Match: Exploring NeRF Features for Visual Localization

ECCV 2024arXiv

citations

Dynamic LiDAR Re-simulation using Compositional Neural Fields

CVPR 2024arXiv

citations

Towards Viewpoint Robustness in Bird's Eye View Segmentation

ICCV 2023arXiv

citations

MvDeCor: Multi-View Dense Correspondence Learning for Fine-Grained 3D Segmentation

ECCV 2022arXiv

citations

Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids

CVPR 2023arXiv

citations

A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision

ICCV 2025arXiv

citations

Towards Precise Completion of Deformable Shapes

ECCV 2020

citations

MonSTeR: a Unified Model for Motion, Scene, Text Retrieval

ICCV 2025arXiv

citations

Or Litany

papers (24)

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

LION: Latent Point Diffusion Models for 3D Shape Generation

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

Vector Neurons: A General Framework for SO(3)-Equivariant Networks

ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes

Language-Grounded Indoor 3D Semantic Segmentation in the Wild

Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion

3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection

Neural Kernel Surface Reconstruction

Weakly Supervised Learning of Rigid 3D Scene Flow

Neural Fields As Learnable Kernels for 3D Reconstruction

Neural LiDAR Fields for Novel View Synthesis

DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer

UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes

3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features

The Nerfect Match: Exploring NeRF Features for Visual Localization

Dynamic LiDAR Re-simulation using Compositional Neural Fields

Towards Viewpoint Robustness in Bird's Eye View Segmentation

MvDeCor: Multi-View Dense Correspondence Learning for Fine-Grained 3D Segmentation

Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids

A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision

Towards Precise Completion of Deformable Shapes

MonSTeR: a Unified Model for Motion, Scene, Text Retrieval

papers (24)

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

LION: Latent Point Diffusion Models for 3D Shape Generation

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

Vector Neurons: A General Framework for SO(3)-Equivariant Networks

ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes

Language-Grounded Indoor 3D Semantic Segmentation in the Wild

Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion

3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection

Neural Kernel Surface Reconstruction

Weakly Supervised Learning of Rigid 3D Scene Flow

Neural Fields As Learnable Kernels for 3D Reconstruction

Neural LiDAR Fields for Novel View Synthesis

DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer

UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes

3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features

The Nerfect Match: Exploring NeRF Features for Visual Localization

Dynamic LiDAR Re-simulation using Compositional Neural Fields

Towards Viewpoint Robustness in Bird's Eye View Segmentation

MvDeCor: Multi-View Dense Correspondence Learning for Fine-Grained 3D Segmentation

Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids

A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision

Towards Precise Completion of Deformable Shapes

MonSTeR: a Unified Model for Motion, Scene, Text Retrieval