ICLR 2026 - Submissions

SubmissionsReviews

Submissions

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 0 (0%) N/A
10-30% 0 (0%) N/A
30-50% 0 (0%) N/A
50-70% 1 (100%) 4.50
70-90% 0 (0%) N/A
90-100% 0 (0%) N/A
Total 1 (100%) 4.50
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Can Text-to-Video Models Generate Realistic Human Motion? Recent advances in text-to-video (T2V) generation have yielded impressive progress in resolution, duration, and prompt fidelity, with models such as Pika, Gen-3, and Sora producing clips that appear c... 4.50 53% See Reviews View AI Dashboard
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