Current auto-regressive mesh generation methods suffer from issues such as
incompleteness, insufficient detail, and poor generalization. In this paper, we propose an …

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 …

High-fidelity driving scenario reconstruction can generate a lot of realistic virtual simulation
environment samples, which can support effective training and testing for autonomous …

Autoregressive transformers have revolutionized high-fidelity image generation. One crucial
ingredient lies in the tokenizer, which compresses high-resolution image patches into …