11 papers
HiMat: DiT-based Ultra-High Resolution SVBRDF Generation
Zixiong Wang, Jian Yang, Yiwei Hu +2
Creating ultra-high-resolution spatially varying bidirectional reflectance functions (SVBRDFs) is critical for photorealistic 3D content creation, to faithfully represent fine-scal…
GS-ROR: Bidirectional-guided 3DGS and SDF for Reflective Object Relighting and Reconstruction
Zuo-Liang Zhu, Beibei Wang, Jian Yang
3D Gaussian Splatting (3DGS) has shown a powerful capability for novel view synthesis due to its detailed expressive ability and highly efficient rendering speed. Unfortunately, cr…
SRUG: Shadow-Guided Relightable Urban Scene with Generation Model
Yonghao Zhao, Zexin Yin, Jian Yang +2
Creating relightable urban scenes from images or videos is widely useful but highly ill-posed. Urban environments are typically unbounded and extend beyond the visible regions. As…
F-RNG: Feed-Forward Relightable Neural Gaussians
Guangming Fu, Jiahui Fan, Jian Yang +2
Capturing relightable 3D assets from real-world objects is a widely researched problem. Several per-scene optimization-based methods, based on 3D Gaussian splatting (3DGS), support…
PureSample: Neural Materials Learned by Sampling Microgeometry
Zixuan Li, Zixiong Wang, Jian Yang +2
Traditional physically-based material models rely on analytically derived bidirectional reflectance distribution functions (BRDFs), typically by considering statistics of micro-pri…
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…