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ExMesh++: From Multi-View Images to Relightable UV-PBR Mesh Assets via Topology-Adaptive Reconstruction and Decomposition
Chuanjin Fan, Lifan Wu, Wenjie Chang +3
Multi-view reconstruction extends beyond surface recovery to editable and relightable mesh assets. Such assets require well-formed topology, valid UV parameterization, and explicit…
RGBX-Next: Towards Realistic Generative Rendering from G-Buffers
Zheng Zeng, Marco Salvi, Lifan Wu +9
Diffusion models have achieved impressive results in image, video, and streaming generation. However, compared to traditional 3D rendering, they still lack precise control over the…
Diffusion-Based Material Regularization for Physics-Based Inverse Rendering
Jingwang Ling, Lifan Wu, Feng Xu +1
Reconstructing physics-based 3D assets -- geometry, materials, and illumination -- from multi-view images is a core problem in computer graphics and vision, and a prerequisite for…
ExMesh: Explicit Mesh Reconstruction with Topology Adaptation
Chuanjin Fan, Lifan Wu, Wenjie Chang +3
Reconstructing surface meshes from multi-view images has remained a core challenge in recent years. Most existing methods, whether implicit or explicit, depend on intermediate repr…
SkeletonGaussian: Editable 4D Generation through Gaussian Skeletonization
Lifan Wu, Ruijie Zhu, Yubo Ai +1
4D generation has made remarkable progress in synthesizing dynamic 3D objects from input text, images, or videos. However, existing methods often represent motion as an implicit de…