Problem: Why It's Hard to Unify Understanding and Generation in One Representation There have been many attempts to merge image understanding and image generation into a…
VC-Attention is a training-free kernel that removes value-quantization and softmax bottlenecks in low-bit video-DiT attention, speeding it up 1.59× on B200.
Programmable World Model — Embedding "Executable State" into Generative Worlds One-Line Summary (TL;DR) Video world models are producing increasingly realistic…
Marigold V2: Reviving an Image-Editing Diffusion Transformer (DiT) as a Monocular Depth Estimator TL;DR This study fine-tunes an image-editing diffusion transformer…
One-line summary (TL;DR) JanusFlow achieves state-of-the-art performance in both image understanding and generation (FID 9.51 / GenEval 0.63 / MMBench 74.9) with a single…