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 supported in part by the NSF Graduate Research Fellowship.

I am interested in physical intelligence: building agents that can capture, reason about, and interact with our rich and dynamic 3D world. I am applying for PhD positions this cycle!

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

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

A Python library for 4D reconstruction from videos.

We control dexterous simulated robot hands to play piano, using Internet videos of human pianist demonstrations.

We fine-tune image-conditioned diffusion models to simultaneously remove ghostly artifacts and infill plausible geometry at novel views.

A physics-based renderer for photorealistic images that supports Monte Carlo path tracing with physically realistic materials, bidirectional path tracing, and volume rendering.

Credits to Jon Barron for this website's template.