7 papers · 1 filter
GOR-IS: 3D Gaussian Object Removal in the Intrinsic Space
Yonghao Zhao, Yupeng Gao, Jian Yang +2
Recent advances in Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have made it standard practice to reconstruct 3D scenes from multi-view images. Removing objects f…
FabricGen: Microstructure-Aware Woven Fabric Generation
Yingjie Tang, Di Luo, Zixiong Wang +3
Woven fabric materials are widely used in rendering applications, yet designing realistic examples typically involves multiple stages, requiring expertise in weaving principles and…
Recovering 3D Shapes from Ultra-Fast Motion-Blurred Images
Fei Yu, Shudan Guo, Shiqing Xin +3
We consider the problem of 3D shape recovery from ultra-fast motion-blurred images. While 3D reconstruction from static images has been extensively studied, recovering geometry fro…
MatPedia: A Universal Generative Foundation for High-Fidelity Material Synthesis
Di Luo, Shuhui Yang, Mingxin Yang +6
Physically-based rendering (PBR) materials are fundamental to photorealistic graphics, yet their creation remains labor-intensive and requires specialized expertise. While generati…
IntrinsicWeather: Controllable Weather Editing in Intrinsic Space
Yixin Zhu, Zuo-Liang Zhu, Jian Yang +3
We present IntrinsicWeather, a diffusion-based framework for controllable weather editing in intrinsic space. Our framework includes two components based on diffusion priors: an in…
SVG-IR: Spatially-Varying Gaussian Splatting for Inverse Rendering
Hanxiao Sun, YuPeng Gao, Jin Xie +2
Reconstructing 3D assets from images, known as inverse rendering (IR), remains a challenging task due to its ill-posed nature. 3D Gaussian Splatting (3DGS) has demonstrated impress…