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 ⌀ |
|---|---|---|---|---|---|
1 Image, 2*2 Stitchi > Text-to-Image Generation > Text-based Image Editing | PIE-Bench | DDIM Inversion+Prompt-to-Prompt | https://arxiv.org/abs/2208.01626v1 | CLIPSIM | 25.01 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Text-based Image Editing | PIE-Bench | DDIM Inversion+Prompt-to-Prompt | https://arxiv.org/abs/2208.01626v1 | Structure Distance | 69.43 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Text-based Image Editing | PIE-Bench | DDIM Inversion+Prompt-to-Prompt | https://arxiv.org/abs/2208.01626v1 | Background PSNR | 17.87 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Text-based Image Editing | PIE-Bench | DDIM Inversion+Prompt-to-Prompt | https://arxiv.org/abs/2208.01626v1 | Background LPIPS | 208.80 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Text-based Image Editing | PIE-Bench | FireFlow (Add Q) | https://arxiv.org/abs/2412.07517v1 | CLIPSIM | 27.33 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Text-based Image Editing | PIE-Bench | FireFlow (Add Q) | https://arxiv.org/abs/2412.07517v1 | Structure Distance | 70.9 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Text-based Image Editing | PIE-Bench | FireFlow (Add Q) | https://arxiv.org/abs/2412.07517v1 | Background PSNR | 16.49 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Text-based Image Editing | PIE-Bench | FireFlow (Add Q) | https://arxiv.org/abs/2412.07517v1 | Background LPIPS | 239.4 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | LCDG | https://arxiv.org/abs/2305.11520v6 | FID | 20.27 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | LCDG (Color, evaluated under image palette) | https://arxiv.org/abs/2305.11520v6 | FID | 20.61 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | LCDG (Color, evaluated under image palette) | https://arxiv.org/abs/2305.11520v6 | CLIP Score | 0.2580 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | LCDG (Mask) | https://arxiv.org/abs/2305.11520v6 | FID | 20.94 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | LCDG (Mask) | https://arxiv.org/abs/2305.11520v6 | CLIP Score | 0.2617 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | LCDG (Edge) | https://arxiv.org/abs/2305.11520v6 | FID | 21.02 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | T2I-Adapter (Sketch) | https://arxiv.org/abs/2305.11520v6 | FID | 21.72 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | T2I-Adapter (Sketch) | https://arxiv.org/abs/2305.11520v6 | CLIP Score | 0.2580 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | T2I-Adapter (Color, evaluated under image palette) | https://arxiv.org/abs/2305.11520v6 | FID | 26.54 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | T2I-Adapter (Color, evaluated under image palette) | https://arxiv.org/abs/2305.11520v6 | CLIP Score | 0.2613 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | SD (text) | https://arxiv.org/abs/2305.11520v6 | FID | 27.99 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | SD (text) | https://arxiv.org/abs/2305.11520v6 | CLIP Score | 0.2673 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | ControlNet (HED Edge) | https://arxiv.org/abs/2305.11520v6 | FID | 28.09 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | ControlNet (HED Edge) | https://arxiv.org/abs/2305.11520v6 | CLIP Score | 0.2525 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | T2I-Adapter (Color, evaluated under color stroke) | https://arxiv.org/abs/2305.11520v6 | FID | 30.84 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | SD using SDEdit (evaluated under color stroke) | https://arxiv.org/abs/2305.11520v6 | FID | 32.93 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | SD using SDEdit (evaluated under color stroke) | https://arxiv.org/abs/2305.11520v6 | CLIP Score | 0.2257 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | SD using SDEdit | https://arxiv.org/abs/2305.11520v6 | FID | 71.16 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO 2017 val | SD using SDEdit (evaluated under image palette) | https://arxiv.org/abs/2305.11520v6 | CLIP Score | 0.2138 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO-MIG | MIGC | https://arxiv.org/abs/2402.05408v2 | instance success rate | 0.66 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO-MIG | MIGC | https://arxiv.org/abs/2402.05408v2 | mIoU | 0.56 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO-MIG | ReCo | https://arxiv.org/abs/2211.15518v1 | instance success rate | 0.55 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO-MIG | ReCo | https://arxiv.org/abs/2211.15518v1 | mIoU | 0.49 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO-MIG | Instance Diffusion (zero-shot) | https://arxiv.org/abs/2402.03290v1 | instance success rate | 0.51 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO-MIG | Instance Diffusion (zero-shot) | https://arxiv.org/abs/2402.03290v1 | mIoU | 0.46 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO-MIG | Gligen (zero-shot) | https://arxiv.org/abs/2301.07093v2 | instance success rate | 0.30 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO-MIG | Gligen (zero-shot) | https://arxiv.org/abs/2301.07093v2 | mIoU | 0.27 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO-MIG | Box-Diffusion (zero-shot) | https://arxiv.org/abs/2307.10816v4 | instance success rate | 0.16 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | COCO-MIG | Box-Diffusion (zero-shot) | https://arxiv.org/abs/2307.10816v4 | mIoU | 0.26 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | MIMIC-CXR | Sana | https://arxiv.org/abs/2505.10496v1 | FID (RadDino) | 54.22 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | MIMIC-CXR | Pixart Sigma | https://arxiv.org/abs/2505.10496v1 | FID (RadDino) | 60.15 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | MIMIC-CXR | RadEdit | https://arxiv.org/abs/2505.10496v1 | FID (RadDino) | 69.69 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | MIMIC-CXR | LLM-CXR | https://arxiv.org/abs/2505.10496v1 | FID (RadDino) | 71.24 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | MIMIC-CXR | SD V3.5 Medium (LoRA r128) | https://arxiv.org/abs/2505.10496v1 | FID (RadDino) | 74.58 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | MIMIC-CXR | Lumina 2.0 (LoRA r128) | https://arxiv.org/abs/2505.10496v1 | FID (RadDino) | 88.28 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | MIMIC-CXR | SD V3.5 Medium (LoRA r32) | https://arxiv.org/abs/2505.10496v1 | FID (RadDino) | 93.10 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | MIMIC-CXR | Lumina 2.0 (LoRA r32) | https://arxiv.org/abs/2505.10496v1 | FID (RadDino) | 101.19 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | MIMIC-CXR | SD V1-5 | https://arxiv.org/abs/2505.10496v1 | FID (RadDino) | 118.93 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | MIMIC-CXR | Flux.1-Dev (LoRA r32) | https://arxiv.org/abs/2505.10496v1 | FID (RadDino) | 122.40 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | MIMIC-CXR | SD V1-4 | https://arxiv.org/abs/2505.10496v1 | FID (RadDino) | 125.18 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | MIMIC-CXR | SD V2-1 | https://arxiv.org/abs/2505.10496v1 | FID (RadDino) | 186.53 |
1 Image, 2*2 Stitchi > Text-to-Image Generation > Conditional Text-to-Image Synthesis | MIMIC-CXR | SD V2 | https://arxiv.org/abs/2505.10496v1 | FID (RadDino) | 194.72 |
1 Image, 2*2 Stitchi > Music Generation | Song Describer Dataset | OpenMusic | https://arxiv.org/abs/2405.15863v4 | FAD VGG | 1.01 |
1 Image, 2*2 Stitchi > Voice Conversion | VCTK | DISSC | https://arxiv.org/abs/2212.09730v2 | Word Length Error (WLE) | 0.056 |
1 Image, 2*2 Stitchi > Voice Conversion | VCTK | DISSC | https://arxiv.org/abs/2212.09730v2 | Total Length Error (TLE) | 0.832 |
1 Image, 2*2 Stitchi > Voice Conversion | VCTK | DISSC | https://arxiv.org/abs/2212.09730v2 | Phone Length Error (PLE) | 0.023 |
1 Image, 2*2 Stitchi > Voice Conversion | ZeroSpeech 2019 English | VQ-CPC | https://arxiv.org/abs/2005.09409v2 | Speaker Similarity | 3.8 |
1 Image, 2*2 Stitchi > Voice Conversion | ZeroSpeech 2019 English | VQ-VAE | https://arxiv.org/abs/2005.09409v2 | Speaker Similarity | 3.49 |
1 Image, 2*2 Stitchi > Voice Conversion | LibriSpeech test-clean | kNN-VC (prematched HiFiGAN) | https://arxiv.org/abs/2305.18975v1 | Word Error Rate (WER) | 7.36 |
1 Image, 2*2 Stitchi > Voice Conversion | LibriSpeech test-clean | kNN-VC (prematched HiFiGAN) | https://arxiv.org/abs/2305.18975v1 | Equal Error Rate | 37.15 |
1 Image, 2*2 Stitchi > Voice Conversion | LibriSpeech test-clean | kNN-VC (prematched HiFiGAN) | https://arxiv.org/abs/2305.18975v1 | Character Error Rate (CER) | 2.96 |
1 Image, 2*2 Stitchi > Image Deblurring | RealBlur-J | EVSSM | https://arxiv.org/abs/2405.14343v1 | PSNR | 34.15 |
1 Image, 2*2 Stitchi > Image Deblurring | RealBlur-J | EVSSM | https://arxiv.org/abs/2405.14343v1 | SSIM | 0.945 |
1 Image, 2*2 Stitchi > Image Deblurring | RealBlur-R(trained on GoPro) | SDWNet | https://arxiv.org/abs/2110.05803v1 | PSNR | 35.85 |
1 Image, 2*2 Stitchi > Image Deblurring | RealBlur-R | EVSSM | https://arxiv.org/abs/2405.14343v1 | PSNR | 41.04 |
1 Image, 2*2 Stitchi > Image Deblurring | RealBlur-R | EVSSM | https://arxiv.org/abs/2405.14343v1 | SSIM | 0.977 |
1 Image, 2*2 Stitchi > Image Deblurring | ImageNet | DDNM | https://arxiv.org/abs/2212.00490v2 | PSNR | 44.93 |
1 Image, 2*2 Stitchi > Image Deblurring | ImageNet | DDNM | https://arxiv.org/abs/2212.00490v2 | SSIM | 0.994 |
1 Image, 2*2 Stitchi > Image Deblurring | ImageNet | DDNM | https://arxiv.org/abs/2212.00490v2 | FID | 1.15 |
1 Image, 2*2 Stitchi > Image Deblurring | ImageNet | DDRM | https://arxiv.org/abs/2212.00490v2 | PSNR | 43.01 |
1 Image, 2*2 Stitchi > Image Deblurring | ImageNet | DDRM | https://arxiv.org/abs/2212.00490v2 | SSIM | 0.992 |
1 Image, 2*2 Stitchi > Image Deblurring | ImageNet | DDRM | https://arxiv.org/abs/2212.00490v2 | FID | 1.48 |
1 Image, 2*2 Stitchi > Image Deblurring | ImageNet | A+y | https://arxiv.org/abs/2212.00490v2 | PSNR | 18.56 |
1 Image, 2*2 Stitchi > Image Deblurring | ImageNet | A+y | https://arxiv.org/abs/2212.00490v2 | SSIM | 0.6616 |
1 Image, 2*2 Stitchi > Image Deblurring | ImageNet | A+y | https://arxiv.org/abs/2212.00490v2 | FID | 55.42 |
1 Image, 2*2 Stitchi > Image Deblurring | Real-world Dataset | EVSSM | https://arxiv.org/abs/2405.14343v1 | PSNR | 48.78 |
1 Image, 2*2 Stitchi > Image Deblurring | Real-world Dataset | EVSSM | https://arxiv.org/abs/2405.14343v1 | SSIM | 0.9951 |
1 Image, 2*2 Stitchi > Image Deblurring | CelebA | DDNM | https://arxiv.org/abs/2212.00490v2 | PSNR | 46.72 |
1 Image, 2*2 Stitchi > Image Deblurring | CelebA | DDNM | https://arxiv.org/abs/2212.00490v2 | SSIM | 0.996 |
1 Image, 2*2 Stitchi > Image Deblurring | CelebA | DDNM | https://arxiv.org/abs/2212.00490v2 | FID | 1.41 |
1 Image, 2*2 Stitchi > Image Deblurring | CelebA | DDRM | https://arxiv.org/abs/2212.00490v2 | PSNR | 43.07 |
1 Image, 2*2 Stitchi > Image Deblurring | CelebA | DDRM | https://arxiv.org/abs/2212.00490v2 | SSIM | 0.993 |
1 Image, 2*2 Stitchi > Image Deblurring | CelebA | DDRM | https://arxiv.org/abs/2212.00490v2 | FID | 6.24 |
1 Image, 2*2 Stitchi > Image Deblurring | CelebA | A+y | https://arxiv.org/abs/2212.00490v2 | PSNR | 18.85 |
1 Image, 2*2 Stitchi > Image Deblurring | CelebA | A+y | https://arxiv.org/abs/2212.00490v2 | SSIM | 0.741 |
1 Image, 2*2 Stitchi > Image Deblurring | CelebA | A+y | https://arxiv.org/abs/2212.00490v2 | FID | 54.31 |
1 Image, 2*2 Stitchi > Image Deblurring | HIDE | AdaRevD | https://arxiv.org/abs/2406.09135v1 | SSIM | 0.953 |
1 Image, 2*2 Stitchi > Image Deblurring | HIDE | AdaRevD | https://arxiv.org/abs/2406.09135v1 | PSNR | 32.35 |
1 Image, 2*2 Stitchi > Image Deblurring | HIDE | EVSSM | https://arxiv.org/abs/2405.14343v1 | SSIM | 0.9501 |
1 Image, 2*2 Stitchi > Image Deblurring | HIDE | EVSSM | https://arxiv.org/abs/2405.14343v1 | PSNR | 31.97 |
1 Image, 2*2 Stitchi > Image Deblurring | HIDE | ALGNet-B | https://arxiv.org/abs/2403.20106v2 | PSNR | 31.68 |
1 Image, 2*2 Stitchi > Image Deblurring | HIDE | M3SNet | https://arxiv.org/abs/2305.05146v1 | PSNR | 31.49 |
1 Image, 2*2 Stitchi > Image Deblurring | HIDE | MAXIM-3S | https://arxiv.org/abs/2201.02973v2 | SSIM | 0.956 |
1 Image, 2*2 Stitchi > Image Deblurring | HIDE (trained on GOPRO) | Hi-IR-L | https://arxiv.org/abs/2411.18588v1 | PSNR | 31.64 |
1 Image, 2*2 Stitchi > Image Deblurring | HIDE (trained on GOPRO) | M3SNet | https://arxiv.org/abs/2305.05146v1 | PSNR | 31.49 |
1 Image, 2*2 Stitchi > Image Deblurring | HIDE (trained on GOPRO) | M3SNet | https://arxiv.org/abs/2305.05146v1 | SSIM | 0.951 |
1 Image, 2*2 Stitchi > Image Deblurring | HIDE (trained on GOPRO) | MHNet | https://arxiv.org/abs/2302.09554v4 | PSNR | 30.71 |
1 Image, 2*2 Stitchi > Image Deblurring | GoPro | AdaRevD | https://arxiv.org/abs/2406.09135v1 | PSNR | 34.6 |
1 Image, 2*2 Stitchi > Image Deblurring | GoPro | AdaRevD | https://arxiv.org/abs/2406.09135v1 | SSIM | 0.972 |
1 Image, 2*2 Stitchi > Image Deblurring | GoPro | EVSSM | https://arxiv.org/abs/2405.14343v1 | PSNR | 34.5 |
1 Image, 2*2 Stitchi > Image Deblurring | GoPro | EVSSM | https://arxiv.org/abs/2405.14343v1 | SSIM | 0.9712 |
1 Image, 2*2 Stitchi > Image Deblurring | GoPro | MDT | http://openaccess.thecvf.com//content/CVPR2025/html/Chen_A_Polarization-Aided_Transformer_for_Image_Deblurring_via_Motion_Vector_Decomposition_CVPR_2025_paper.html | PSNR | 34.26 |
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