Vincent Sitzmann
24 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Pioneer
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Mega-Team Β· Squad
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Deep Specialist
(13)
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Renaissance Researcher
(7)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(129)
Top co-authors
Research topics
Computer Vision
(19)
Deep Learning
(17)
Analysis
(14)
Machine Learning
(13)
Generation
(12)
Architectures
(8)
Models
(8)
Artificial Intelligence
(7)
Core AI
(7)
Learning Types Β· Deep Learning
(6)
Core Methods
(5)
Learning Types Β· Machine Learning
(5)
Processing
(4)
Application Areas
(2)
Computer Science
(1)
Keywords
novel view synthesis
(9)
diffusion model
(5)
3d reconstruction
(5)
self-supervised learning
(4)
differentiable rendering
(4)
neural implicit representation
(3)
view synthesis
(3)
neural radiance field
(3)
neural network
(2)
representation learning
(2)
neural scene representation
(2)
3d vision
(2)
radiance field
(2)
multi-view geometry
(2)
signal representation
(1)
feature extraction
(1)
reinforcement learning
(1)
domain adaptation
(1)
variational inference
(1)
contrastive learning
(1)
Papers
Scaling View Synthesis Transformers
CVPR 2026
Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars
WACV 2026
History-Guided Video Diffusion
ICML 2025
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
NeurIPS 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
NeurIPS 2024
pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction
CVPR 2024
Score Distillation via Reparametrized DDIM
NeurIPS 2024
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields
ICCV 2023
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
NeurIPS 2023
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
NeurIPS 2023
Learning To Render Novel Views From Wide-Baseline Stereo Pairs
CVPR 2023
Neural Groundplans: Persistent Neural Scene Representations from a Single Image
ICLR 2023
Decomposing NeRF for Editing via Feature Field Distillation
NeurIPS 2022
Kubric: A Scalable Dataset Generator
CVPR 2022
3D Neural Scene Representations for Visuomotor Control
CoRL 2021
Learning Signal-Agnostic Manifolds of Neural Fields
NeurIPS 2021
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
NeurIPS 2021
Single-Shot Scene Reconstruction
CoRL 2021
Implicit Neural Representations with Periodic Activation Functions
NeurIPS 2020
MetaSDF: Meta-Learning Signed Distance Functions
NeurIPS 2020
DeepVoxels: Learning Persistent 3D Feature Embeddings
CVPR 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
NeurIPS 2019