flow-transformer

SUPRA-Tex 提出通过解耦可见材质估计、表面对齐与观测引导的3D补全来生成可重光照的3D材质，在单图3D生成中实现可见区域的高保真还原与未观测表面的连贯补全，在纹理化和端到端资产生成任务上达到SOTA。

GeoCR introduces a generalist cloud removal model that unifies RGB-only and multispectral cloud removal (with optional SAR guidance) in a single flow transformer, trained on ten datasets with 883,331 cloud-free images, achieving state-of-the-art FID/DISTS without dataset-specific fine-tuning.