SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3301–3325 of 6689 papers

TitleStatusHype
DPCL-Diff: The Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning—0
DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase—0
CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data—0
DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI—0
DoodleFormer: Creative Sketch Drawing with Transformers—0
Don't Forget your Inverse DDIM for Image Editing—0
Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-On—0
Chop & Learn: Recognizing and Generating Object-State Compositions—0
Chinese Typeface Transformation with Hierarchical Adversarial Network—0
Adversarial nets with perceptual losses for text-to-image synthesis—0
Domain Generalization for 6D Pose Estimation Through NeRF-based Image Synthesis—0
Chili Pepper Disease Diagnosis via Image Reconstruction Using GrabCut and Generative Adversarial Serial Autoencoder—0
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models—0
Domain Adaptation Using Adversarial Learning for Autonomous Navigation—0
Chest-Diffusion: A Light-Weight Text-to-Image Model for Report-to-CXR Generation—0
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging—0
Do I look like a `cat.n.01` to you? A Taxonomy Image Generation Benchmark—0
Does CLIP perceive art the same way we do?—0
Check Locate Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation—0
Do Distributed Semantic Models Dream of Electric Sheep? Visualizing Word Representations through Image Synthesis—0
On Error Propagation of Diffusion Models—0
Check, Locate, Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation—0
Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?—0
Do DALL-E and Flamingo Understand Each Other?—0
DOCCI: Descriptions of Connected and Contrasting Images—0
Show:102550
← PrevPage 133 of 268Next →
All datasetsImageNet 256x256CIFAR-10ImageNet 64x64ImageNet 512x512FFHQ 256 x 256CelebA 64x64ImageNet 32x32LSUN Bedroom 256 x 256STL-10LSUN Churches 256 x 256ImageNet 128x128FFHQ 1024 x 1024

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3—Unverified
2ADMFID11.84—Unverified
3BigGAN-deepFID8.1—Unverified
4Polarity-BigGANFID6.82—Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59—Unverified
6MaskGITFID6.18—Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2—Unverified
8CDMFID4.88—Unverified
9ADM-GFID4.59—Unverified
10RINFID4.51—Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2—Unverified
2RESFLOWFID48.29—Unverified
3Residual FlowFID46.37—Unverified
4GLF+perceptual loss (ours)FID44.6—Unverified
5ProdPoly no activation functionsFID40.45—Unverified
6ProdPoly no activation functionsFID36.77—Unverified
7ACGANFID35.47—Unverified
8DenseFlow-74-10FID34.9—Unverified
9NVAE w/ flowFID32.53—Unverified
10QSNGANFID31.97—Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87—Unverified
2GLIDE + CLIPFID30.46—Unverified
3GLIDE + CLS-FREEFID29.22—Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18—Unverified
5PGMGANFID21.73—Unverified
6CLR-GANFID20.27—Unverified
7FMFID14.45—Unverified
8CT (Direct Generation, NFE=1)FID13—Unverified
9CT (Direct Generation, NFE=2)FID11.1—Unverified
10GLIDE +CLSKID7.95—Unverified