5 citations · 6 across the 17 of their papers we have counts for
18 papers
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…
Relit-LiVE: Relight Video by Jointly Learning Environment Video
Weiqing Xiao, Hong Li, Xiuyu Yang +7
Recent advances have shown that large-scale video diffusion models can be repurposed as neural renderers by first decomposing videos into intrinsic scene representations and then p…
Toward Visually Realistic Simulation: A Benchmark for Evaluating Robot Manipulation in Simulation
Yixin Zhu, Zixiong Wang, Jian Yang +4
Reliable simulation evaluation of robot manipulation policies serves as a high-fidelity proxy for real-world performance. Although existing benchmarks cover a wide range of task ca…
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…
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…
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…
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…
Gaussian Splatting with Discretized SDF for Relightable Assets
Zuo-Liang Zhu, Jian Yang, Beibei Wang
3D Gaussian splatting (3DGS) has shown its detailed expressive ability and highly efficient rendering speed in the novel view synthesis (NVS) task. The application to inverse rende…
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…
Free Your Hands: Lightweight Turntable-Based Object Capture Pipeline
Jiahui Fan, Fujun Luan, Jian Yang +2
Novel view synthesis (NVS) from multiple captured photos of an object is a widely studied problem. Achieving high quality typically requires dense sampling of input views, which ca…
RNG: Relightable Neural Gaussians
Jiahui Fan, Fujun Luan, Jian Yang +2
3D Gaussian Splatting (3DGS) has shown impressive results for the novel view synthesis task, where lighting is assumed to be fixed. However, creating relightable 3D assets, especia…
Woven Fabric Capture with a Reflection-Transmission Photo Pair
Yingjie Tang, Zixuan Li, Miloš Hašan +2
Digitizing woven fabrics would be valuable for many applications, from digital humans to interior design. Previous work introduces a lightweight woven fabric acquisition approach b…
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…
A Micro-Ellipsoid Model for Wet Porous Materials Rendering
Gaole Pan, Yuang Cui, Jian Yang +1
Wet porous materials, like wet ground, moist walls, or wet cloth, are common in the real world. These materials consist of transmittable particles surrounded by liquid, where the i…