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IMLS-Splatting: Efficient Mesh Reconstruction from Multi-view Images via Point Representation
SessionInvited: Posters
DescriptionThis work presents IMLS-Splatting, which establishes a direct, differentiable bridge between discrete point clouds and continuous surfaces and achieves end-to-end mesh optimization from multi-view images by integrating differentiable rasterization, avoiding any post-processing or regularization.
Contributors
Kaizhi Yang
University of Science and Technology of China
Dai Liu
University of California, San Diego
Isabella Liu
University of California, San Diego
Xiaoshuai Zhang
Hillbot Inc.
Xiaoyan Sun
University of Science and Technology of China
Xuejin Chen
University of Science and Technology of China
Zexiang Xu
Hillbot Inc.
Hao Su
University of California San Diego
Hillbot Inc.
Event Type
Invited Poster
Poster
TimeThursday, 18 December 20259:00am - 6:00pm HKT
LocationChancellor 1+2, Level 4
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