ICLR 2026 - Submissions
Submissions
Summary Statistics
| Quantity AI Content | Count | Avg Rating |
|---|---|---|
| 0-10% | 0 (0%) | N/A |
| 10-30% | 1 (100%) | 3.33 |
| 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%) | 3.33 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| Background Matters: Robust 3D Human Pose Estimation via Controllable Video Generation | Deep learning models for 3D human pose estimation (HPE) often fail to generalize across domains with varying environments, camera setups, or data distributions. We address this challenge with a contro... | 3.33 | 21% | See Reviews | View AI Dashboard |