Chi Zhang

SwiftVR achieves real-time 1080p video restoration on consumer GPUs, a first in the field, while maintaining high perceptual quality and low inference costs.

Teaching emotional support chatbots specific, executable skills, rather than relying on end-to-end training, leads to more interpretable, controllable, and ultimately more helpful conversations.

MiniMax-M2 proves that massive parameter counts don't always translate to better agentic performance; strategic activation of a smaller subset can unlock frontier-level intelligence.

Imagine turning any single-view video into a fully explorable, dynamic 4D scene – this paper gets us closer with a novel diffusion-based approach and a new large-scale dataset.

Forget slow, complex training: you can now distill diffusion models to just 4 steps and still beat the state-of-the-art in preference alignment, aesthetics, and composition.