TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	REMOVE
Image-to-Image Translation	ADE20K Labels-to-Photos	Esser et al.	FID	35.5	# 7
Image-to-Image Translation	COCO-Stuff Labels-to-Photos	Esser et al.	FID	22.4	# 4

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Taming Transformers for High-Resolution Image Synthesis

17 Dec 2020 • Patrick Esser • Robin Rombach • Björn Ommer

Designed to learn long-range interactions on sequential data, transformers continue to show state-of-the-art results on a wide variety of tasks. In contrast to CNNs, they contain no inductive bias that prioritizes local interactions... (read more)

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IMAGE GENERATION

IMAGE-TO-IMAGE TRANSLATION

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ImageNet

LSUN

DeepFashion

CelebA-HQ

Perceptual Similarity

FFHQ

COCO-Stuff

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Ranked #4 on Image-to-Image Translation on COCO-Stuff Labels-to-Photos (FID metric)

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	RESULT	BENCHMARK
Image-to-Image Translation	ADE20K Labels-to-Photos	Esser et al.	FID	35.5	# 7		Compare
Image-to-Image Translation	COCO-Stuff Labels-to-Photos	Esser et al.	FID	22.4	# 4		Compare

Methods used in the Paper

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METHOD	TYPE
Residual Connection	Skip Connections
Label Smoothing	Regularization
Dropout	Regularization
BPE	Subword Segmentation
Adam	Stochastic Optimization
Dense Connections	Feedforward Networks
Softmax	Output Functions
Multi-Head Attention	Attention Modules
Layer Normalization	Normalization
Scaled Dot-Product Attention	Attention Mechanisms
Transformer	Transformers

Taming Transformers for High-Resolution Image Synthesis

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