Eric Ming Chen — accepted AI-conference papers

2023

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

Eric Ming Chen, Sidhanth Holalkere, Ruyu Yan, Kai Zhang, Abe Davis

ICCV 2023poster

Multi-view image generation attracts particular attention these days due to its promising 3D-related applications, e.g., image viewpoint editing. Most existing methods follow a paradigm where a 3D representation is first synthesized, and then rendered into 2D images to ensure photo-consistency acros…

Cited by 6 PDF ↗Scholar ↗

2023

Riemannian Residual Neural Networks

Isay Katsman, Eric Ming Chen, Sidhanth Holalkere, Anna Asch, Aaron Lou, Ser-Nam Lim +1

NeurIPS 2023poster

Recent methods in geometric deep learning have introduced various neural networks to operate over data that lie on Riemannian manifolds. Such networks are often necessary to learn well over graphs with a hierarchical structure or to learn over manifold-valued data encountered in the natural sciences…

Cited by 16 Source ↗PDF ↗Scholar ↗