ICLR 2026 - Submissions
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 |