Though diffusion-based video generation has witnessed rapid progress, the inference
results of existing models still exhibit unsatisfactory temporal consistency and unnatural …

This work addresses the challenge of high-quality surface normal estimation from monocular
colored inputs (ie, images and videos), a field which has recently been revolutionized by …

We present DREAM a novel training framework representing Diffusion Rectification and
Estimation-Adaptive Models requiring minimal code changes (just three lines) yet …

We introduce deep generative diffusion for multivariate and regional surrogate modeling
learned from sea‐ice simulations. Given initial conditions and atmospheric forcings, the …

Wildfires are a significant threat to ecosystems and human infrastructure, leading to
widespread destruction and environmental degradation. Recent advancements in deep …