SAR3D: Autoregressive 3D object generation and understanding via multi-scale 3D VQVAE
Autoregressive models have demonstrated remarkable success across various fields, from
large language models (LLMs) to large multimodal models (LMMs) and 2D content …
large language models (LLMs) to large multimodal models (LMMs) and 2D content …
Material Anything: Generating Materials for Any 3D Object via Diffusion
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 …
generate physically-based materials for 3D objects. Unlike existing methods that rely on …
Neural LightRig: Unlocking Accurate Object Normal and Material Estimation with Multi-Light Diffusion
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 …
its under-constrained nature. In this paper, we present Neural LightRig, a novel framework …