26.10.2025
CSG-Fusion Wins Best Paper at ICCV 2025 Workshop
Award-Winning Work by MCML Director Daniel Cremers and Junior Members Wenbo Ji and Weirong Chen
The paper “CSG-Fusion: Consistent Sparse-View Gaussian Splatting via Matching-based Fusion” by MCML Director Daniel Cremers and Junior Member Weirong Chen, together with Wenbo Ji, and Yan Xia, received the Best Paper Award at the ICCV 2025 Workshop on End-to-End 3D Learning.
CSG-Fusion reduces redundant Gaussian representations in pixel-aligned pointmaps for compact, consistent 3D reconstructions using a matching prior, mask-based feature aggregation, and context-view supervision.
Congratulations to the team on this outstanding achievement!
Check out the full paper:
CSG-Fusion: Consistent Sparse-View Gaussian Splatting via Matching-based Fusion.
E2E3D @ICCV 2025 - Workshop on End-to-End 3D Learning at the IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. Best Paper Award. To be published. Preprint available. URL
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