2 citations · 3 across the 11 of their papers we have counts for
4 papers · 1 filter
SpeeDiff: Scalable Pixel-Anchored End-to-End Latent Diffusion Model
Bingliang Zhang, Wenda Chu, Yizhuo Li +5
We present Scalable Pixel-anchored End-to-end Diffusion (SpeeDiff), a latent diffusion method that jointly trains the VAE and the diffusion model from scratch. In principle, joint…
Vera: A Layered Diffusion Model for Content-Preserving Video Editing
Hongkai Zheng, Ta-Ying Cheng, Benjamin Klein +2
Video diffusion models have enabled remarkable progress in video generation and editing. However, content preservation remains a core challenge: existing methods regenerate every p…
End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer
Wenda Chu, Bingliang Zhang, Jiaqi Han +4
Autoregressive image modeling relies on visual tokenizers to compress images into compact latent representations. We design an end-to-end training pipeline that jointly optimizes r…
STeP: A Framework for Solving Scientific Video Inverse Problems with Spatiotemporal Diffusion Priors
Bingliang Zhang, Zihui Wu, Berthy T. Feng +3
Reconstructing spatially and temporally coherent videos from time-varying measurements is a fundamental challenge in many scientific domains. A major difficulty arises from the spa…