Zan Gojcic

papers

2,687

total citations

papers (15)

Predator: Registration of 3D Point Clouds With Low Overlap

CVPR 2021arXiv

643

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

Learning Multiview 3D Point Cloud Registration

CVPR 2020arXiv

177

citations

Neural Kernel Surface Reconstruction

CVPR 2023arXiv

120

citations

Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes

CVPR 2023arXiv

113

citations

Zan Gojcic

papers (15)

Predator: Registration of 3D Point Clouds With Low Overlap

LION: Latent Point Diffusion Models for 3D Shape Generation

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

Learning Multiview 3D Point Cloud Registration

Neural Kernel Surface Reconstruction

Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes

Weakly Supervised Learning of Rigid 3D Scene Flow

Neural Fields As Learnable Kernels for 3D Reconstruction

CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations

Neural LiDAR Fields for Novel View Synthesis

Dynamic 3D Scene Analysis by Point Cloud Accumulation

Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering

Towards Viewpoint Robustness in Bird's Eye View Segmentation

LuxDiT: Lighting Estimation with Video Diffusion Transformer

Controllable Weather Synthesis and Removal with Video Diffusion Models

papers (15)

Predator: Registration of 3D Point Clouds With Low Overlap

LION: Latent Point Diffusion Models for 3D Shape Generation

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

Learning Multiview 3D Point Cloud Registration

Neural Kernel Surface Reconstruction

Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes

Weakly Supervised Learning of Rigid 3D Scene Flow

Neural Fields As Learnable Kernels for 3D Reconstruction

CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations

Neural LiDAR Fields for Novel View Synthesis

Dynamic 3D Scene Analysis by Point Cloud Accumulation

Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering

Towards Viewpoint Robustness in Bird's Eye View Segmentation

LuxDiT: Lighting Estimation with Video Diffusion Transformer

Controllable Weather Synthesis and Removal with Video Diffusion Models