Vincent Sitzmann

23 papers · 2019–2026 · 7 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (37) 🌍 Conference Polyglot (7) 🏃 Academic Marathon (7) 🌈 Renaissance Researcher (7) 👥 Mega-Team (34) 🔬 Deep Specialist (11) 🏆 Keyword Champion 🗃️ Keyword Collector (115) 💎 Century Club (23) 📈 Trend Setter ⚡ Prolific Year (6) 🔥 Unstoppable (8)

Conferences

NIPS (11) CVPR (5) CORL (2) ICLR (2) ICCV (1) ICML (1) WACV (1)

Top co-authors

Yilun Du (7) Gordon Wetzstein (4) Fredo Durand (4) Ayush Tewari (4) Adrien Gaidon (3) Boyuan Chen (3) Sergey Zakharov (3) Josh Tenenbaum (3) Bill Freeman (2) Cameron Smith (2)

Keywords

novel view synthesis (7) 3d reconstruction (5) diffusion model (4) neural radiance field (3) view synthesis (3) self-supervised learning (3) differentiable rendering (3) neural implicit representation (3) representation learning (2) neural scene representation (2) 3d vision (2) radiance field (2) multi-view geometry (2) 3d shape generation (1) scene understanding (1) semantic segmentation (1) signal representation (1) feature extraction (1) contrastive learning (1) domain adaptation (1)

Papers

Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars WACV 2026

History-Guided Video Diffusion ICML 2025

Score Distillation via Reparametrized DDIM NIPS 2024

DittoGym: Learning to Control Soft Shape-Shifting Robots ICLR 2024

Intrinsic Image Diffusion for Indoor Single-view Material Estimation CVPR 2024

Neural Isometries: Taming Transformations for Equivariant ML NIPS 2024

pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction CVPR 2024

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion NIPS 2024

Learning To Render Novel Views From Wide-Baseline Stereo Pairs CVPR 2023

DeLiRa: Self-Supervised Depth, Light, and Radiance Fields ICCV 2023

FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow NIPS 2023

Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision NIPS 2023

Neural Groundplans: Persistent Neural Scene Representations from a Single Image ICLR 2023

Kubric: A Scalable Dataset Generator CVPR 2022

Decomposing NeRF for Editing via Feature Field Distillation NIPS 2022

3D Neural Scene Representations for Visuomotor Control CORL 2021

Learning Signal-Agnostic Manifolds of Neural Fields NIPS 2021

Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering NIPS 2021

Single-Shot Scene Reconstruction CORL 2021

MetaSDF: Meta-Learning Signed Distance Functions NIPS 2020

Implicit Neural Representations with Periodic Activation Functions NIPS 2020

DeepVoxels: Learning Persistent 3D Feature Embeddings CVPR 2019

Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations NIPS 2019