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Models/PixArt-a

PixArt-a

Reported on 24 benchmarks across 4 tasks · 1 paper · 24 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Audio12 results

10-shot image generationonT2I-CompBench
Color· 2023-09-30
0.6886
best: 0.7913 (Emu3)
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
10-shot image generationonT2I-CompBench
Complex· 2023-09-30
0.4117
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
10-shot image generationonT2I-CompBench
Non-Spatial· 2023-09-30
0.3179
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
10-shot image generationonT2I-CompBench
Shape· 2023-09-30
0.5582
best: 0.5846 (Emu3)
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
10-shot image generationonT2I-CompBench
Spatial· 2023-09-30
0.2082
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
10-shot image generationonT2I-CompBench
Texture· 2023-09-30
0.7044
best: 0.7422 (Emu3)
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
1 Image, 2*2 StitchionT2I-CompBench
Color· 2023-09-30
0.6886
best: 0.7913 (Emu3)
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
1 Image, 2*2 StitchionT2I-CompBench
Complex· 2023-09-30
0.4117
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
1 Image, 2*2 StitchionT2I-CompBench
Non-Spatial· 2023-09-30
0.3179
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
1 Image, 2*2 StitchionT2I-CompBench
Shape· 2023-09-30
0.5582
best: 0.5846 (Emu3)
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
1 Image, 2*2 StitchionT2I-CompBench
Spatial· 2023-09-30
0.2082
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
1 Image, 2*2 StitchionT2I-CompBench
Texture· 2023-09-30
0.7044
best: 0.7422 (Emu3)
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426

Medical6 results

Image GenerationonT2I-CompBench
Color· 2023-09-30
0.6886
best: 0.7913 (Emu3)
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
Image GenerationonT2I-CompBench
Complex· 2023-09-30
0.4117
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
Image GenerationonT2I-CompBench
Non-Spatial· 2023-09-30
0.3179
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
Image GenerationonT2I-CompBench
Shape· 2023-09-30
0.5582
best: 0.5846 (Emu3)
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
Image GenerationonT2I-CompBench
Spatial· 2023-09-30
0.2082
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
Image GenerationonT2I-CompBench
Texture· 2023-09-30
0.7044
best: 0.7422 (Emu3)
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426

Natural Language Processing6 results

Text-to-Image GenerationonT2I-CompBench
Color· 2023-09-30
0.6886
best: 0.7913 (Emu3)
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
Text-to-Image GenerationonT2I-CompBench
Complex· 2023-09-30
0.4117
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
Text-to-Image GenerationonT2I-CompBench
Non-Spatial· 2023-09-30
0.3179
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
Text-to-Image GenerationonT2I-CompBench
Shape· 2023-09-30
0.5582
best: 0.5846 (Emu3)
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
Text-to-Image GenerationonT2I-CompBench
Spatial· 2023-09-30
0.2082
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426
Text-to-Image GenerationonT2I-CompBench
Texture· 2023-09-30
0.7044
best: 0.7422 (Emu3)
SOTA
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426