Vincent Sitzmann

papers

5,630

total citations

papers (14)

Implicit Neural Representations with Periodic Activation Functions

NEURIPS 2020arXiv

3,228

citations

pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction

CVPR 2024arXiv

516

citations

Decomposing NeRF for Editing via Feature Field Distillation

NEURIPS 2022arXiv

416

citations

Kubric: A Scalable Dataset Generator

CVPR 2022arXiv

371

citations

Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering

NEURIPS 2021arXiv

363

citations

MetaSDF: Meta-Learning Signed Distance Functions

NEURIPS 2020arXiv

274

citations

Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision

NEURIPS 2023arXiv

113

citations

FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow

NEURIPS 2023arXiv

citations

Locality in Image Diffusion Models Emerges from Data Statistics

NEURIPS 2025arXiv

citations

DeLiRa: Self-Supervised Depth, Light, and Radiance Fields

ICCV 2023arXiv

citations

Vincent Sitzmann

papers (14)

Implicit Neural Representations with Periodic Activation Functions

pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction

Decomposing NeRF for Editing via Feature Field Distillation

Kubric: A Scalable Dataset Generator

Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering

MetaSDF: Meta-Learning Signed Distance Functions

Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision

Learning To Render Novel Views From Wide-Baseline Stereo Pairs

History-Guided Video Diffusion

Learning Signal-Agnostic Manifolds of Neural Fields

Intrinsic Image Diffusion for Indoor Single-view Material Estimation

FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow

Locality in Image Diffusion Models Emerges from Data Statistics

DeLiRa: Self-Supervised Depth, Light, and Radiance Fields

papers (14)

Implicit Neural Representations with Periodic Activation Functions

pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction

Decomposing NeRF for Editing via Feature Field Distillation

Kubric: A Scalable Dataset Generator

Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering

MetaSDF: Meta-Learning Signed Distance Functions

Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision

Learning To Render Novel Views From Wide-Baseline Stereo Pairs

History-Guided Video Diffusion

Learning Signal-Agnostic Manifolds of Neural Fields

Intrinsic Image Diffusion for Indoor Single-view Material Estimation

FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow

Locality in Image Diffusion Models Emerges from Data Statistics

DeLiRa: Self-Supervised Depth, Light, and Radiance Fields