ICLR 2026 - Submissions

SubmissionsReviews

Submissions

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 1 (100%) 5.00
10-30% 0 (0%) N/A
30-50% 0 (0%) N/A
50-70% 0 (0%) N/A
70-90% 0 (0%) N/A
90-100% 0 (0%) N/A
Total 1 (100%) 5.00
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
NGS-Marker: Robust Native Watermarking for 3D Gaussian Splatting With the rapid development and adoption of 3D Gaussian Splatting (3DGS), the need for effective copyright protection has become increasingly critical. Existing watermarking techniques for 3DGS mainly ... 5.00 5% See Reviews View AI Dashboard
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