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.

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

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

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 of humans, animals, and scenes from monocular 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.

A compiler for a type-safe subset of C, outperforming gcc -O1 by 36.9% on average on CMU 15-411's benchmark suite.

Credits to Jon Barron for this website's template.