task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
10-shot image generation > Text-to-Image Generation | Conceptual Captions | Contextual RQ-Transformer | https://arxiv.org/abs/2206.04452v1 | FID | 9.80 |
10-shot image generation > Text-to-Image Generation | Conceptual Captions | RQ-Transformer | https://arxiv.org/abs/2203.01941v2 | FID | 12.33 |
10-shot image generation > Text-to-Image Generation | Conceptual Captions | LDM-4 | https://arxiv.org/abs/2112.10752v2 | FID | 17.01 |
10-shot image generation > Text-to-Image Generation | Conceptual Captions | Image-BART | https://arxiv.org/abs/2108.08827v1 | FID | 22.61 |
10-shot image generation > Text-to-Image Generation | Conceptual Captions | VQ-GAN | https://arxiv.org/abs/2012.09841v3 | FID | 28.86 |
10-shot image generation > Text-to-Image Generation | Colors | BiLSTMS on color generation | https://arxiv.org/abs/2311.06542v3 | Validation Accuracy | 85 |
10-shot image generation > Text-to-Image Generation | Oxford 102 Flowers | RAT-Diffusion | https://arxiv.org/abs/2410.01638v1 | FID | 9.52 |
10-shot image generation > Text-to-Image Generation | Oxford 102 Flowers | RAT-Diffusion | https://arxiv.org/abs/2410.01638v1 | Inception score | 4.35 |
10-shot image generation > Text-to-Image Generation | Oxford 102 Flowers | VQ-Diffusion-F | https://arxiv.org/abs/2111.14822v3 | FID | 14.1 |
10-shot image generation > Text-to-Image Generation | Oxford 102 Flowers | VQ-Diffusion-B | https://arxiv.org/abs/2111.14822v3 | FID | 14.88 |
10-shot image generation > Text-to-Image Generation | Oxford 102 Flowers | VQ-Diffusion-S | https://arxiv.org/abs/2111.14822v3 | FID | 14.95 |
10-shot image generation > Text-to-Image Generation | Oxford 102 Flowers | RAT-GAN | https://arxiv.org/abs/2204.10482v1 | FID | 16.04 |
10-shot image generation > Text-to-Image Generation | Oxford 102 Flowers | RAT-GAN | https://arxiv.org/abs/2204.10482v1 | Inception score | 4.09 |
10-shot image generation > Text-to-Image Generation | Oxford 102 Flowers | StackGAN-v2 | http://arxiv.org/abs/1710.10916v3 | FID | 48.68 |
10-shot image generation > Text-to-Image Generation | Oxford 102 Flowers | StackGAN-v2 | http://arxiv.org/abs/1710.10916v3 | Inception score | 3.26 |
10-shot image generation > Text-to-Image Generation | Oxford 102 Flowers | StackGAN-v1 | http://arxiv.org/abs/1710.10916v3 | FID | 55.28 |
10-shot image generation > Text-to-Image Generation | Oxford 102 Flowers | StackGAN-v1 | http://arxiv.org/abs/1710.10916v3 | Inception score | 3.2 |
10-shot image generation > Text-to-Image Generation | Oxford 102 Flowers | StackGAN | http://arxiv.org/abs/1612.03242v2 | Inception score | 3.2 |
10-shot image generation > Text-to-Image Generation | GeNeVA (CoDraw) | LatteGAN | https://arxiv.org/abs/2112.13985v2 | F1-score | 77.51± 0.52 |
10-shot image generation > Text-to-Image Generation | GeNeVA (CoDraw) | LatteGAN | https://arxiv.org/abs/2112.13985v2 | rsim | 54.16± 0.21 |
10-shot image generation > Text-to-Image Generation | GeNeVA (CoDraw) | GeNeVA-GAN | https://arxiv.org/abs/1811.09845v3 | F1-score | 58.83 |
10-shot image generation > Text-to-Image Generation | GeNeVA (CoDraw) | GeNeVA-GAN | https://arxiv.org/abs/1811.09845v3 | rsim | 35.41 |
10-shot image generation > Text-to-Image Generation | COCO | Parti Finetuned | https://arxiv.org/abs/2206.10789v1 | FID | 3.22 |
10-shot image generation > Text-to-Image Generation | COCO | CM3Leon-7B | https://arxiv.org/abs/2309.02591v1 | FID | 4.88 |
10-shot image generation > Text-to-Image Generation | COCO | Parti | https://arxiv.org/abs/2206.10789v1 | FID | 7.23 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | Swinv2-Imagen | https://arxiv.org/abs/2210.09549v1 | FID | 10.31 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | Lafite | https://arxiv.org/abs/2111.13792v3 | FID | 12.54 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | Corgi | https://arxiv.org/abs/2211.15388v2 | FID | 19.74 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | Unite and Conquer | https://arxiv.org/abs/2212.00793v2 | FID | 26.09 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | Unite and Conquer | https://arxiv.org/abs/2212.00793v2 | LPIPS | 0.519 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | TediGAN-B | https://arxiv.org/abs/2104.08910v1 | FID | 101.42 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | TediGAN-B | https://arxiv.org/abs/2104.08910v1 | LPIPS | 0.461 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | TediGAN-B | https://arxiv.org/abs/2104.08910v1 | Acc | 20.4 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | TediGAN-B | https://arxiv.org/abs/2104.08910v1 | Real | 21.0 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | TediGAN-A | https://arxiv.org/abs/2012.03308v3 | FID | 106.37 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | TediGAN-A | https://arxiv.org/abs/2012.03308v3 | LPIPS | 0.456 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | TediGAN-A | https://arxiv.org/abs/2012.03308v3 | Acc | 18.4 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | TediGAN-A | https://arxiv.org/abs/2012.03308v3 | Real | 22.6 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | ControlGAN | https://arxiv.org/abs/1909.07083v2 | FID | 116.32 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | ControlGAN | https://arxiv.org/abs/1909.07083v2 | LPIPS | 0.522 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | ControlGAN | https://arxiv.org/abs/1909.07083v2 | Acc | 14.6 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | ControlGAN | https://arxiv.org/abs/1909.07083v2 | Real | 13.1 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | AttnGAN | http://arxiv.org/abs/1711.10485v1 | FID | 125.98 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | AttnGAN | http://arxiv.org/abs/1711.10485v1 | LPIPS | 0.512 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | AttnGAN | http://arxiv.org/abs/1711.10485v1 | Acc | 13.0 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | AttnGAN | http://arxiv.org/abs/1711.10485v1 | Real | 11.9 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | DM-GAN | http://arxiv.org/abs/1904.01310v1 | FID | 131.05 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | DM-GAN | http://arxiv.org/abs/1904.01310v1 | LPIPS | 0.544 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | DM-GAN | http://arxiv.org/abs/1904.01310v1 | Acc | 16.4 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | DM-GAN | http://arxiv.org/abs/1904.01310v1 | Real | 16.9 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | DFGAN | https://arxiv.org/abs/2008.05865v4 | FID | 137.60 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | DFGAN | https://arxiv.org/abs/2008.05865v4 | LPIPS | 0.581 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | DFGAN | https://arxiv.org/abs/2008.05865v4 | Acc | 17.3 |
10-shot image generation > Text-to-Image Generation | Multi-Modal-CelebA-HQ | DFGAN | https://arxiv.org/abs/2008.05865v4 | Real | 14.5 |
10-shot image generation > Text-to-Image Generation | LAION COCO | Parti Finetuned | https://arxiv.org/abs/2206.10789v1 | FID | 8.39 |
10-shot image generation > Text-to-Image Generation | LAION COCO | Parti | https://arxiv.org/abs/2206.10789v1 | FID | 15.97 |
10-shot image generation > Text-to-Image Generation | Flickr-8k | SSC+SKD | https://arxiv.org/abs/2309.11127v1 | LPIPS | 0.697 |
10-shot image generation > Text-to-Image Generation | GeNeVA (i-CLEVR) | LatteGAN | https://arxiv.org/abs/2112.13985v2 | F1-score | 97.26±1.56 |
10-shot image generation > Text-to-Image Generation | GeNeVA (i-CLEVR) | LatteGAN | https://arxiv.org/abs/2112.13985v2 | rsim | 83.21± 1.70 |
10-shot image generation > Text-to-Image Generation | GeNeVA (i-CLEVR) | GeNeVA-GAN | https://arxiv.org/abs/1811.09845v3 | F1-score | 88.39 |
10-shot image generation > Text-to-Image Generation | GeNeVA (i-CLEVR) | GeNeVA-GAN | https://arxiv.org/abs/1811.09845v3 | rsim | 74.02 |
10-shot image generation > Text-to-Image Generation | CUB | RAT-Diffusion | https://arxiv.org/abs/2410.01638v1 | FID | 6.36 |
10-shot image generation > Text-to-Image Generation | CUB | RAT-Diffusion | https://arxiv.org/abs/2410.01638v1 | Inception score | 6.56 |
10-shot image generation > Text-to-Image Generation | CUB | TLDM | https://arxiv.org/abs/2202.09671v4 | FID | 6.72 |
10-shot image generation > Text-to-Image Generation | CUB | Swinv2-Imagen | https://arxiv.org/abs/2210.09549v1 | FID | 9.78 |
10-shot image generation > Text-to-Image Generation | CUB | Swinv2-Imagen | https://arxiv.org/abs/2210.09549v1 | Inception score | 8.44 |
10-shot image generation > Text-to-Image Generation | CUB | GALIP | https://arxiv.org/abs/2301.12959v1 | FID | 10.08 |
10-shot image generation > Text-to-Image Generation | CUB | RAT-GAN | https://arxiv.org/abs/2204.10482v1 | FID | 10.21 |
10-shot image generation > Text-to-Image Generation | CUB | RAT-GAN | https://arxiv.org/abs/2204.10482v1 | Inception score | 5.36 |
10-shot image generation > Text-to-Image Generation | CUB | VQ-Diffusion-F | https://arxiv.org/abs/2111.14822v3 | FID | 10.32 |
10-shot image generation > Text-to-Image Generation | CUB | Lafite | https://arxiv.org/abs/2111.13792v3 | FID | 10.48 |
10-shot image generation > Text-to-Image Generation | CUB | Lafite | https://arxiv.org/abs/2111.13792v3 | Inception score | 5.97 |
10-shot image generation > Text-to-Image Generation | CUB | VQ-Diffusion-B | https://arxiv.org/abs/2111.14822v3 | FID | 11.94 |
10-shot image generation > Text-to-Image Generation | CUB | VQ-Diffusion-S | https://arxiv.org/abs/2111.14822v3 | FID | 12.97 |
10-shot image generation > Text-to-Image Generation | CUB | DM-GAN+CL | https://arxiv.org/abs/2107.02423v2 | FID | 14.38 |
10-shot image generation > Text-to-Image Generation | CUB | DM-GAN+CL | https://arxiv.org/abs/2107.02423v2 | Inception score | 4.77 |
10-shot image generation > Text-to-Image Generation | CUB | StackGAN-v2 | http://arxiv.org/abs/1710.10916v3 | FID | 15.3 |
10-shot image generation > Text-to-Image Generation | CUB | StackGAN-v2 | http://arxiv.org/abs/1710.10916v3 | Inception score | 3.82 |
10-shot image generation > Text-to-Image Generation | CUB | AttnGAN+CL | https://arxiv.org/abs/2107.02423v2 | FID | 16.34 |
10-shot image generation > Text-to-Image Generation | CUB | AttnGAN+CL | https://arxiv.org/abs/2107.02423v2 | Inception score | 4.42 |
10-shot image generation > Text-to-Image Generation | CUB | StackGAN-v1 | http://arxiv.org/abs/1710.10916v3 | FID | 51.89 |
10-shot image generation > Text-to-Image Generation | CUB | StackGAN-v1 | http://arxiv.org/abs/1710.10916v3 | Inception score | 3.7 |
10-shot image generation > Text-to-Image Generation | CUB | GAWWN | http://arxiv.org/abs/1610.02454v1 | FID | 67.22 |
10-shot image generation > Text-to-Image Generation | CUB | GAWWN | http://arxiv.org/abs/1610.02454v1 | Inception score | 3.62 |
10-shot image generation > Text-to-Image Generation | CUB | DF-GAN | https://arxiv.org/abs/2008.05865v4 | Inception score | 4.86 |
10-shot image generation > Text-to-Image Generation | CUB | DM-GAN+CL | null | Inception score | 4.77 |
10-shot image generation > Text-to-Image Generation | CUB | Attention-driven Generator (perceptual loss) | https://arxiv.org/abs/1909.07083v2 | Inception score | 4.58 |
10-shot image generation > Text-to-Image Generation | CUB | MirrorGAN | http://arxiv.org/abs/1903.05854v1 | Inception score | 4.56 |
10-shot image generation > Text-to-Image Generation | CUB | AttnGAN | http://arxiv.org/abs/1711.10485v1 | Inception score | 4.36 |
10-shot image generation > Text-to-Image Generation | CUB | StackGAN | http://arxiv.org/abs/1612.03242v2 | Inception score | 3.7 |
10-shot image generation > Text-to-Image Generation | LHQC | NUWA-Infinity | https://arxiv.org/abs/2207.09814v2 | Block-FID | 9.71 |
10-shot image generation > Text-to-Image Generation | LHQC | MaskGIT | https://arxiv.org/abs/2202.04200v1 | Block-FID | 24.33 |
10-shot image generation > Text-to-Image Generation | LHQC | Taming | https://arxiv.org/abs/2012.09841v3 | Block-FID | 38.89 |
10-shot image generation > Text-to-Image Generation | DrawBench | LCM (Curriculum DPO) | https://arxiv.org/abs/2405.13637v6 | Aesthetics (Laion Aesthtetics Predictor) | 6.1829 |
10-shot image generation > Text-to-Image Generation | DrawBench | LCM (Curriculum DPO) | https://arxiv.org/abs/2405.13637v6 | Human Preference Alignement (HPSv2) | 0.2851 |
10-shot image generation > Text-to-Image Generation | DrawBench | LCM (Curriculum DPO) | https://arxiv.org/abs/2405.13637v6 | Text Alignement (SentenceBERT) | 0.5812 |
10-shot image generation > Text-to-Image Generation | DrawBench | LCM (DPO) | https://arxiv.org/abs/2311.12908v1 | Aesthetics (Laion Aesthtetics Predictor) | 6.0430 |
10-shot image generation > Text-to-Image Generation | DrawBench | LCM (DPO) | https://arxiv.org/abs/2311.12908v1 | Human Preference Alignement (HPSv2) | 0.2814 |
10-shot image generation > Text-to-Image Generation | DrawBench | LCM (DPO) | https://arxiv.org/abs/2311.12908v1 | Text Alignement (SentenceBERT) | 0.5720 |
10-shot image generation > Text-to-Image Generation | DrawBench | LCM (DDPO) | https://arxiv.org/abs/2305.13301v4 | Aesthetics (Laion Aesthtetics Predictor) | 6.0121 |
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