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Harbin Institute of Technology
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CLEAR achieves superior 3D Gaussian super-resolution by resolving gradient conflicts and optimizing low-resolution and high-resolution data in a single unified framework.
T3HG-Editor achieves unprecedented garment consistency in 3D human editing by embedding body priors from the SMPL-X model, setting a new standard for fidelity in text-driven applications.
Unreliable Gaussians are the root cause of artifacts in sparse-view 3D Gaussian Splatting, and modeling their reliability in both the optimization and observation domains dramatically improves reconstruction quality.
Reconstructing 3D scenes from images obscured by smoke and extreme darkness is now significantly more achievable, thanks to insights gleaned from the NTIRE 2026 challenge.