Vincent Sitzmann
Associate Professor
Builds machines that learn to understand and interact with the world, including scene representations, video generation models, and video-based robot policies.
Vincent Sitzmann's lab at MIT works on video understanding and image & video generation. 22 papers since 2023, 20 at top venues, mostly NeurIPS and CVPR. 12 PhD students. 9 alumni, most often to OpenAI. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 91%
- PhD students
- 12
- MS students
- 0
- alumni listed
- 9
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 3 · collecting
- 8 papers2025 · T1 8
- 4 papers2024 · T1 3
- 6 papers2023 · T1 6
T1 venuesOtherVenues: NeurIPS, CVPR, ICLR, 3DV, CoRL
Research focuspaper titles that use each topic's words
- Image & video generation7 papers
- Video understanding3 papers
- video generation1 paper
- robot policies0 papers
- interact0 papers
Paper list
From the lab homepage.
20264 papers
- NeurIPS (T1)MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation (opens in a new tab)
- NeurIPS (T1)Reconstructing the Vocal Tract with Differentiable Acoustic Simulation (opens in a new tab)
- CVPR (T1)Scaling View Synthesis Transformers (opens in a new tab)
- WACVSnapmoji: Instant Generation of Animatable Dual-Stylized Avatars (opens in a new tab)
20258 papers
- Nature (T1)Controlling diverse robots by inferring Jacobian fields with deep networks (opens in a new tab)
- NeurIPS (T1)Dataset Distillation for Pre-Trained Self-Supervised Vision Models (opens in a new tab)
- ICLR (T1)Generative View Stitching (opens in a new tab)
- ICML (T1)History-Guided Video Diffusion (opens in a new tab)
- CoRL (T1)Large Video Planner (opens in a new tab)
- NeurIPS (T1)Locality in Image Diffusion Models Emerges from Data Statistics (opens in a new tab)
- SIGGRAPH (T1)Meschers: Geometry Processing of Impossible Objects (opens in a new tab)
- ICLR (T1)True Self-Supervised Novel View Synthesis is Transferable (opens in a new tab)
20244 papers
- NeurIPS (T1)Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion (opens in a new tab)
- 3DVFlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent (opens in a new tab)
- NeurIPS (T1)Neural Isometries: Taming Transformations for Equivariant ML (opens in a new tab)
- NeurIPS (T1)Score Distillation via Reparametrized DDIM (opens in a new tab)
20236 papers
- NeurIPS (T1)Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision (opens in a new tab)
- NeurIPS (T1)FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow (opens in a new tab)
- CVPR (T1)Learning to render novel views from wide-baseline stereo pairs (opens in a new tab)
- ICLR (T1)Neural Groundplans: Persistent Neural Scene Representations from a Single Image (opens in a new tab)
- CVPR (T1)pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction (opens in a new tab)
- SIGGRAPH Asia (T1)Variational Barycentric Coordinates (opens in a new tab)
Where alumni went9 listed, 50% to industry
Industry 3Academia 3
Most often to
- OpenAI
Also to
- Harvard University
- USC
Apply to MITFall 2027
MIT EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- USD 90
Confirmed on the program page.
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- Papers
- The lab homepage
- Members
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- Lab homepage
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