Image To Image Translation On Ade20K Labels

Metrics

FID

mIoU

Results

Performance results of various models on this benchmark

			Paper Title
pix2pixHD	81.8	20.3	High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
CRN	73.3	22.4	Photographic Image Synthesis with Cascaded Refinement Networks
Pix2PixHD-AUG	41.5	-	Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis
VQGAN+Transformer	35.5	-	Taming Transformers for High-Resolution Image Synthesis
USIS-Wavelet	34.5	16.95	Wavelet-based Unsupervised Label-to-Image Translation
SPADE	33.9	38.5	Semantic Image Synthesis with Spatially-Adaptive Normalization
USIS	33.2	17.38	USIS: Unsupervised Semantic Image Synthesis
CC-FPSE-AUG	32.6	44	Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis
SPADE + SESAME	31.9	49	SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
CC-FPSE	31.7	43.7	Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
OASIS	28.3	48.8	You Only Need Adversarial Supervision for Semantic Image Synthesis
SCDM	26.9	49.4	Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis
CoCosNet	26.4	-	Cross-domain Correspondence Learning for Exemplar-based Image Translation
DP-GAN	26.1	52.7	Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis
DP-SIMS (ConvNext-L)	22.7	54.3	Unlocking Pre-trained Image Backbones for Semantic Image Synthesis
INADE	-	-	Diverse Semantic Image Synthesis via Probability Distribution Modeling

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Image To Image Translation On Ade20K Labels

Metrics

FID

mIoU

Results

Performance results of various models on this benchmark

			Paper Title
pix2pixHD	81.8	20.3	High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
CRN	73.3	22.4	Photographic Image Synthesis with Cascaded Refinement Networks
Pix2PixHD-AUG	41.5	-	Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis
VQGAN+Transformer	35.5	-	Taming Transformers for High-Resolution Image Synthesis
USIS-Wavelet	34.5	16.95	Wavelet-based Unsupervised Label-to-Image Translation
SPADE	33.9	38.5	Semantic Image Synthesis with Spatially-Adaptive Normalization
USIS	33.2	17.38	USIS: Unsupervised Semantic Image Synthesis
CC-FPSE-AUG	32.6	44	Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis
SPADE + SESAME	31.9	49	SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
CC-FPSE	31.7	43.7	Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
OASIS	28.3	48.8	You Only Need Adversarial Supervision for Semantic Image Synthesis
SCDM	26.9	49.4	Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis
CoCosNet	26.4	-	Cross-domain Correspondence Learning for Exemplar-based Image Translation
DP-GAN	26.1	52.7	Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis
DP-SIMS (ConvNext-L)	22.7	54.3	Unlocking Pre-trained Image Backbones for Semantic Image Synthesis
INADE	-	-	Diverse Semantic Image Synthesis via Probability Distribution Modeling

0 of 16 row(s) selected.

Image To Image Translation On Ade20K Labels | SOTA | HyperAI