Recent developments in foundation models, like Large Language Models (LLMs) and Vision-
Language Models (VLMs), trained on extensive data, facilitate flexible application across …

Recent years have witnessed remarkable advances in artificial intelligence generated
content (AIGC), with diverse input modalities, eg, text, image, video, audio and 3D. The 3D is …

We present FoundationPose a unified foundation model for 6D object pose estimation and
tracking supporting both model-based and model-free setups. Our approach can be instantly …

Generative AI has made significant progress in recent years, with text-guided content
generation being the most practical as it facilitates interaction between human instructions …

We present TextureDreamer a novel image-guided texture synthesis method to transfer
relightable textures from a small number of input images (3 to 5) to target 3D shapes across …

We present Paint-it a text-driven high-fidelity texture map synthesis method for 3D meshes
via neural re-parameterized texture optimization. Paint-it synthesizes texture maps from a …

This paper presents Paint3D a novel coarse-to-fine generative framework that is capable of
producing high-resolution lighting-less and diverse 2K UV texture maps for untextured 3D …

Traditional 3D content creation tools empower users to bring their imagination to life by
giving them direct control over a scene's geometry appearance motion and camera path …

Inspired by cognitive theories, we introduce AnyHome, a framework that translates any text
into well-structured and textured indoor scenes at a house-scale. By prompting Large …

Manually creating textures for 3D meshes is time-consuming, even for expert visual content
creators. We propose a fast approach for automatically texturing an input 3D mesh based on …