We introduce FabricDiffusion, a method for transferring fabric textures from a single clothing
image to 3D garments of arbitrary shapes. Existing approaches typically synthesize textures …

While high-quality texture maps are essential for realistic 3D asset rendering, few studies
have explored learning directly in the texture space, especially on large-scale datasets. In …

3D part segmentation is a crucial and challenging task in 3D perception, playing a vital role
in applications such as robotics, 3D generation, and 3D editing. Recent methods harness …

We present Material Anything, a fully-automated, unified diffusion framework designed to
generate physically-based materials for 3D objects. Unlike existing methods that rely on …

We present Style3D, a novel approach for generating stylized 3D objects from a content
image and a style image. Unlike most previous methods that require case-or style-specific …

Text-to-texture generation has recently attracted increasing attention, but existing methods
often suffer from the problems of view inconsistencies, apparent seams, and misalignment …