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Text-to-Image Generation
벤치마크
Text-to-Image Generation on Oxford 102 Flowers
40개 결과 ·
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FID
낮을수록 좋음
9.52
20.96
32.4
43.84
55.28
2017-10
2026-09
StackGAN-v2 — 48.68 (2017-10-19)
StackGAN-v1 — 55.28 (2017-10-19)
StackGAN-v2 — 48.68 (2017-10-19)
StackGAN-v1 — 55.28 (2017-10-19)
StackGAN-v2 — 48.68 (2017-10-19)
StackGAN-v1 — 55.28 (2017-10-19)
StackGAN-v2 — 48.68 (2017-10-19)
StackGAN-v1 — 55.28 (2017-10-19)
StackGAN-v2 — 48.68 (2017-10-19)
StackGAN-v1 — 55.28 (2017-10-19)
VQ-Diffusion-F — 14.1 (2021-11-29)
VQ-Diffusion-B — 14.88 (2021-11-29)
VQ-Diffusion-S — 14.95 (2021-11-29)
VQ-Diffusion-F — 14.1 (2021-11-29)
VQ-Diffusion-B — 14.88 (2021-11-29)
VQ-Diffusion-S — 14.95 (2021-11-29)
VQ-Diffusion-F — 14.1 (2021-11-29)
VQ-Diffusion-B — 14.88 (2021-11-29)
VQ-Diffusion-S — 14.95 (2021-11-29)
VQ-Diffusion-F — 14.1 (2021-11-29)
VQ-Diffusion-B — 14.88 (2021-11-29)
VQ-Diffusion-S — 14.95 (2021-11-29)
VQ-Diffusion-F — 14.1 (2021-11-29)
VQ-Diffusion-B — 14.88 (2021-11-29)
VQ-Diffusion-S — 14.95 (2021-11-29)
RAT-GAN — 16.04 (2022-04-22)
RAT-GAN — 16.04 (2022-04-22)
RAT-GAN — 16.04 (2022-04-22)
RAT-GAN — 16.04 (2022-04-22)
RAT-GAN — 16.04 (2022-04-22)
RAT-Diffusion — 9.52 (2024-10-02)
RAT-Diffusion — 9.52 (2024-10-02)
RAT-Diffusion — 9.52 (2024-10-02)
RAT-Diffusion — 9.52 (2024-10-02)
RAT-Diffusion — 9.52 (2024-10-02)
StackGAN-v2 — 48.68 (2017-10-19)
VQ-Diffusion-F — 14.1 (2021-11-29)
RAT-Diffusion — 9.52 (2024-10-02)
2017-10-19 — StackGAN-v2: FID 48.68
2021-11-29 — VQ-Diffusion-F: FID 14.1
2024-10-02 — RAT-Diffusion: FID 9.52
Rank
Model
FID
Inception score
Extra Training Data
Paper
Code
Year
1
RAT-Diffusion
9.52
4.35
✓
Data Extrapolation for Text-to-image Generation on Small Datasets
senmaoy/RAT-Diffusion
2024
2
VQ-Diffusion-F
14.1
–
✓
Vector Quantized Diffusion Model for Text-to-Image Synthesis
microsoft/vq-diffusion
·
cientgu/vq-diffusion
2021
3
VQ-Diffusion-B
14.88
–
✓
Vector Quantized Diffusion Model for Text-to-Image Synthesis
microsoft/vq-diffusion
·
cientgu/vq-diffusion
2021
4
VQ-Diffusion-S
14.95
–
✓
Vector Quantized Diffusion Model for Text-to-Image Synthesis
microsoft/vq-diffusion
·
cientgu/vq-diffusion
2021
5
RAT-GAN
16.04
4.09
Recurrent Affine Transformation for Text-to-image Synthesis
senmaoy/recurrent-affine-transformation-for-text-to-image-synthesis
·
senmaoy/RAT-Diffusion
2022
6
StackGAN-v2
48.68
3.26
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
hanzhanggit/StackGAN
·
taoxugit/AttnGAN
·
hanzhanggit/StackGAN-v2
·
+13
2017
7
StackGAN-v1
55.28
3.2
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
hanzhanggit/StackGAN
·
taoxugit/AttnGAN
·
hanzhanggit/StackGAN-v2
·
+13
2017
8
StackGAN
–
3.2
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
hanzhanggit/StackGAN
·
hanzhanggit/StackGAN-Pytorch
·
hanzhanggit/StackGAN-inception-model
·
+18
2016
9
RAT-Diffusion
9.52
4.35
✓
Data Extrapolation for Text-to-image Generation on Small Datasets
senmaoy/RAT-Diffusion
2024
10
VQ-Diffusion-F
14.1
–
✓
Vector Quantized Diffusion Model for Text-to-Image Synthesis
microsoft/vq-diffusion
·
cientgu/vq-diffusion
2021
11
VQ-Diffusion-B
14.88
–
✓
Vector Quantized Diffusion Model for Text-to-Image Synthesis
microsoft/vq-diffusion
·
cientgu/vq-diffusion
2021
12
VQ-Diffusion-S
14.95
–
✓
Vector Quantized Diffusion Model for Text-to-Image Synthesis
microsoft/vq-diffusion
·
cientgu/vq-diffusion
2021
13
RAT-GAN
16.04
4.09
Recurrent Affine Transformation for Text-to-image Synthesis
senmaoy/recurrent-affine-transformation-for-text-to-image-synthesis
·
senmaoy/RAT-Diffusion
2022
14
StackGAN-v2
48.68
3.26
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
hanzhanggit/StackGAN
·
taoxugit/AttnGAN
·
hanzhanggit/StackGAN-v2
·
+13
2017
15
StackGAN-v1
55.28
3.2
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
hanzhanggit/StackGAN
·
taoxugit/AttnGAN
·
hanzhanggit/StackGAN-v2
·
+13
2017
16
StackGAN
–
3.2
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
hanzhanggit/StackGAN
·
hanzhanggit/StackGAN-Pytorch
·
hanzhanggit/StackGAN-inception-model
·
+18
2016
17
RAT-Diffusion
9.52
4.35
✓
Data Extrapolation for Text-to-image Generation on Small Datasets
senmaoy/RAT-Diffusion
2024
18
VQ-Diffusion-F
14.1
–
✓
Vector Quantized Diffusion Model for Text-to-Image Synthesis
microsoft/vq-diffusion
·
cientgu/vq-diffusion
2021
19
VQ-Diffusion-B
14.88
–
✓
Vector Quantized Diffusion Model for Text-to-Image Synthesis
microsoft/vq-diffusion
·
cientgu/vq-diffusion
2021
20
VQ-Diffusion-S
14.95
–
✓
Vector Quantized Diffusion Model for Text-to-Image Synthesis
microsoft/vq-diffusion
·
cientgu/vq-diffusion
2021
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