Eric Ming Chen

I’m Eric, an undergrad at Cornell University studying Computer Science! I am interested in 3D computer vision, geometric deep learning and neural fields. I am advised by Abe Davis and Noah Snavely. Last year I was co-president of Cornell University Artificial Intelligence (CUAI).

I am applying to PhD programs in computer vision and graphics this fall!

Email: emc348[at]    Github: echen01

Publications and Preprints

Faces Mapped to Different Viewpoints

Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Generation

Eric M. Chen, Sidhanth Holalkere, Ruyu Yan, Kai Zhang, Abe Davis
ICCV 2023
Website Paper

Faces Transformed Across Decades

What’s in a Decade? Transforming Faces Through Time

Eric M. Chen, Jin Sun, Apoorv Khandelwal, Dani Lischinski, Noah Snavely, Hadar Averbuch-Elor
Eurographics 2023
Website Paper


Riemannian Residual Neural Networks

Isay Katsman*, Eric M. Chen*, Sidhanth Holalkere*, Anna Asch*, Aaron Lou, Ser-Nam Lim, Christopher De Sa
NeurIPS 2023
Also in the ICML 2022 TAGML Workshop
Paper Poster

* Equal Contribution


Slice of Cube

The elegant geometry behind Rwanda’s COVID-19 pooled testing strategy

Eric M. Chen, Medha Bulumulla, Megan Rochlin
Cornell Data Journal, Published Dec. 18, 2020


Eevee Render

Cornell Rendering Competition Path Tracer

I created a path tracer to render fur for the Cornell CS 6630 rendering competition. I won a copy of Fundamentals of Computer Graphics signed by Steve Marschner!
Slides Report

Physically Based Smoke Animation

Implemented Target-Driven Smoke Animation by Fattal and Lischinski. Investigated how to use divergence-free neural fields to model smoke animation as an optimal transport problem.