Kaiming He

Diffuse and Disperse: Image Generation with Representation Regularization

A Decade's Battle on Dataset Bias: Are We There Yet?

Mean Flows for One-step Generative Modeling

TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes

Deconstructing Denoising Diffusion Models for Self-Supervised Learning

Is Noise Conditioning Necessary for Denoising Generative Models?

Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Highly Compressed Tokenizer Can Generate Without Training

Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning

Deep Neural Networks without Normalization