Jeff Tan

Hello! I'm a second-year MS in Robotics student at Carnegie Mellon University, advised by Prof. Deva Ramanan and often collaborating with Prof. Shubham Tulsiani. Previously, I was an undergrad in CS at CMU. I am grateful for support from the NSF Graduate Research Fellowship (2023-).

In the future, I am interested in building generalist robots that can achieve human-level visual reasoning and dexterity.

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Research

MonoFusion: Sparse-View 4D Reconstruction via Monocular Fusion
Zihan Wang, Jeff Tan, Tarasha Khurana, Neehar Peri, Deva Ramanan
ICCV 2025
Website | Paper

We reconstruct dynamic human behaviors (e.g. playing the piano and bicycle repair) from four inward-facing static cameras surrounding the scene.

DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion
Qitao Zhao, Amy Lin, Jeff Tan, Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani
CVPR 2025
Website | Paper

From a set of multi-view images, we learn a denoising diffusion model that outputs scene geometry and cameras in global frame.

DressRecon: Freeform 4D Human Reconstruction from Monocular Video
Jeff Tan, Donglai Xiang, Shubham Tulsiani, Deva Ramanan, Gengshan Yang
3DV 2025 (Oral)
Website | arXiv | Github

From a single monocular video, we reconstruct humans in loose clothing and interacting with objects, using a hierarchical deformation field and image-based priors.

Distilling Neural Fields for Real-Time Articulated Shape Reconstruction
Jeff Tan, Gengshan Yang, Deva Ramanan
CVPR 2023
Website | Paper | Github

We learn real-time feed-forward pose and shape predictors, by distilling knowledge from offline differentiable rendering optimizers.

Projects

Lab4D
Gengshan Yang, Jeff Tan, Alex Lyons, Neehar Peri, Deva Ramanan
2023
Website | Github

A Python library for 4D reconstruction of humans, animals, and scenes from monocular videos.

Misc
CMU SCS Logo Teaching Assistant, Physics-Based Rendering (15-468): S23, S24
Teaching Assistant, Parallel Computation (15-418): F21, S22, S23
Teaching Assistant, Introduction to Computer Systems (15-213): F21

Credits to Jon Barron for this website's template.