Beyond Defaults: Is Noise Conditioning Necessary for Diffusion Models?
A review of recent research that challenges the necessity of noise level conditioning in generative models, exploring alternative approaches to denoising and flow matching.
PinT algorithms for Diffusion Models
A review of researches that accelerate diffusion models in wall clock time by parallelization.
Test-time scaling in Diffusion Models
A review of researches that explore test-time scaling for diffusion models.
Video Diffusion Models as World Simulators
A review of Oasis: A Universe in a transformer, and Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Controllabilities in Video Diffusion Models
A review of papers that add controllabilities to video generation (DragNUWA and Boximator)