Image Generation

Image Generation (synthesis) is the task of generating new images from an existing dataset.

Unconditional generation refers to generating samples unconditionally from the dataset, i.e. $p(y)$
Conditional image generation (subtask) refers to generating samples conditionally from the dataset, based on a label, i.e. $p(y|x)$.

In this section, you can find state-of-the-art leaderboards for unconditional generation. For conditional generation, and other types of image generations, refer to the subtasks.

( Image credit: StyleGAN )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 6176–6200 of 6689 papers

Title	Date	Tasks	Status	Hype
AnonymousNet: Natural Face De-Identification with Measurable Privacy	Apr 19, 2019	Attributecounterfactual	—Unverified	0
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation	Apr 19, 2019	Data AugmentationImage Generation	CodeCode Available	0
Fashion++: Minimal Edits for Outfit Improvement	Apr 19, 2019	Image Generation	—Unverified	0
Compact Scene Graphs for Layout Composition and Patch Retrieval	Apr 19, 2019	Image GenerationRetrieval	—Unverified	0
Generative Model for Zero-Shot Sketch-Based Image Retrieval	Apr 18, 2019	Image GenerationImage Retrieval	—Unverified	0
Inspecting and Interacting with Meaningful Music Representations using VAE	Apr 18, 2019	DisentanglementImage Generation	—Unverified	0
TextCaps : Handwritten Character Recognition with Very Small Datasets	Apr 17, 2019	Few-Shot Image ClassificationImage Classification	CodeCode Available	0
Polarimetric Thermal to Visible Face Verification via Self-Attention Guided Synthesis	Apr 15, 2019	Face VerificationGenerative Adversarial Network	—Unverified	0
Improved Precision and Recall Metric for Assessing Generative Models	Apr 15, 2019	Image Generation	CodeCode Available	1
Processsing Simple Geometric Attributes with Autoencoders	Apr 15, 2019	Image GenerationPosition	—Unverified	0
Joint Discriminative and Generative Learning for Person Re-identification	Apr 15, 2019	Image GenerationImage-to-Image Translation	CodeCode Available	2
FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation	Apr 11, 2019	DecoderFace Generation	—Unverified	0
Data Priming Network for Automatic Check-Out	Apr 10, 2019	Data AugmentationDomain Adaptation	—Unverified	0
Text Guided Person Image Synthesis	Apr 10, 2019	AttributeImage Generation	—Unverified	0
Sliced Wasserstein Generative Models	Apr 10, 2019	Image GenerationVideo Generation	CodeCode Available	1
Learning monocular depth estimation infusing traditional stereo knowledge	Apr 8, 2019	Depth EstimationImage Generation	CodeCode Available	0
Normalized Diversification	Apr 7, 2019	Conditional Image GenerationDiversity	CodeCode Available	0
Artificial Intelligence for Pediatric Ophthalmology	Apr 6, 2019	BIG-bench Machine LearningImage Generation	—Unverified	0
Progressive Pose Attention Transfer for Person Image Generation	Apr 6, 2019	Generative Adversarial NetworkImage Generation	CodeCode Available	1
Unsupervised Person Image Generation with Semantic Parsing Transformation	Apr 6, 2019	Image GenerationImage Manipulation	CodeCode Available	0
UU-Nets Connecting Discriminator and Generator for Image to Image Translation	Apr 4, 2019	DecoderImage Generation	—Unverified	0
Constrained Generative Adversarial Networks for Interactive Image Generation	Apr 3, 2019	Image Generation	—Unverified	0
Image Generation From Small Datasets via Batch Statistics Adaptation	Apr 3, 2019	Common Sense ReasoningDiversity	CodeCode Available	1
Conditional Adversarial Generative Flow for Controllable Image Synthesis	Apr 3, 2019	Image Generation	—Unverified	0
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis	Apr 2, 2019	Generative Adversarial NetworkImage Generation	CodeCode Available	1

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All datasets ImageNet 256x256 CIFAR-10 ImageNet 64x64 ImageNet 512x512 FFHQ 256 x 256 CelebA 64x64 ImageNet 32x32 LSUN Bedroom 256 x 256 STL-10 LSUN Churches 256 x 256 ImageNet 128x128 FFHQ 1024 x 1024

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Improved DDPM	FID	12.3	—	Unverified
2	ADM	FID	11.84	—	Unverified
3	BigGAN-deep	FID	8.1	—	Unverified
4	Polarity-BigGAN	FID	6.82	—	Unverified
5	VQGAN+Transformer (k=mixed, p=1.0, a=0.005)	FID	6.59	—	Unverified
6	MaskGIT	FID	6.18	—	Unverified
7	VQGAN+Transformer (k=600, p=1.0, a=0.05)	FID	5.2	—	Unverified
8	CDM	FID	4.88	—	Unverified
9	ADM-G	FID	4.59	—	Unverified
10	RIN	FID	4.51	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PresGAN	FID	52.2	—	Unverified
2	RESFLOW	FID	48.29	—	Unverified
3	Residual Flow	FID	46.37	—	Unverified
4	GLF+perceptual loss (ours)	FID	44.6	—	Unverified
5	ProdPoly no activation functions	FID	40.45	—	Unverified
6	ProdPoly no activation functions	FID	36.77	—	Unverified
7	ACGAN	FID	35.47	—	Unverified
8	DenseFlow-74-10	FID	34.9	—	Unverified
9	NVAE w/ flow	FID	32.53	—	Unverified
10	QSNGAN	FID	31.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GLIDE + CLS	FID	30.87	—	Unverified
2	GLIDE + CLIP	FID	30.46	—	Unverified
3	GLIDE + CLS-FREE	FID	29.22	—	Unverified
4	GLIDE + CLIP + CLS + CLS-FREE	FID	29.18	—	Unverified
5	PGMGAN	FID	21.73	—	Unverified
6	CLR-GAN	FID	20.27	—	Unverified
7	FM	FID	14.45	—	Unverified
8	CT (Direct Generation, NFE=1)	FID	13	—	Unverified
9	CT (Direct Generation, NFE=2)	FID	11.1	—	Unverified
10	GLIDE +CLS	KID	7.95	—	Unverified