Tiktok
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multimodal Recommendation | TikTok | Recall@100.075 | 21 | |
| Multimodal Recommendation | TikTok Cold-start | Recall@104.37 | 21 | |
| Human Dance Generation | TikTok (test) | SSIM0.836 | 17 | |
| Human Image Animation | TikTok | FVD140.62 | 15 | |
| Video Generation | TikTok (test) | SSIM0.92 | 11 | |
| Video Comment Generation | TikTok English | Info Score83.46 | 8 | |
| Video Generation | TikTok dataset Self Reenactment (test) | PSNR21.85 | 7 | |
| Video Generation | TikTok Cross-ID | MQ4.55 | 7 | |
| Human dance generation | TikTok | SSIM71.8 | 6 | |
| Personalized Recommendation | Tiktok (test) | Precision@101.95 | 6 | |
| Human Video Animation | TikTok sequences 335-340 and additional self-collected videos (test) | Fidelity Dynamic Foreground3.87 | 5 | |
| Human Image Animation | TikTok (test) | Subject Consistency95.56 | 5 | |
| Dance-to-Music Generation | TikTok (test) | BCS89.51 | 4 | |
| Video-to-music generation | TikTok | BCS91.8 | 3 | |
| Depth Estimation | TikTok | MSE1.18 | 2 |
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