2 papers
cs.CV2026
Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation
Alan Baade, Eric Ryan Chan, Kyle Sargent +4
Latent diffusion models excel at generating high-quality images but lose the benefits of end-to-end modeling. They discard information during image encoding, require a separately t…
cs.CV2024
Diffusion Self-Distillation for Zero-Shot Customized Image Generation
Shengqu Cai, Eric Chan, Yunzhi Zhang +3
Text-to-image diffusion models produce impressive results but are frustrating tools for artists who desire fine-grained control. For example, a common use case is to create images…