Material reconstruction from a photograph is a key component of 3D content creation
democratization. We propose to formulate this ill-posed problem as a controlled synthesis …

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 …

The integration of material attribute estimation (MAE) within augmented reality, virtual reality,
and mixed reality telecommunication systems stands as a pivotal domain, evolving rapidly …

Hand in hand with the rapid development of machine learning, deep learning and
generative AI algorithms and architectures, the graphics community has seen a remarkable …

Recovering spatial-varying bi-directional reflectance distribution function (SVBRDF) from a
few hand-held captured images has been a challenging task in computer graphics …

DALL-E and Sora have gained attention by producing implausible images, such as"
astronauts riding a horse in space." Despite the proliferation of text-to-vision models that …

Recovering the geometry and materials of objects from a single image is challenging due to
its under-constrained nature. In this paper, we present Neural LightRig, a novel framework …

Vastextures is a vast repository of 500,000 textures and PBR materials extracted from real-
world images using an unsupervised process. The extracted materials and textures are …

Physically realistic materials are pivotal in augmenting the realism of 3D assets across
various applications and lighting conditions. However, existing 3D assets and generative …

We introduce StableMaterials, a novel approach for generating photorealistic physical-
based rendering (PBR) materials that integrate semi-supervised learning with Latent …