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 3076–3100 of 6689 papers

TitleStatusHype
JetFormer: An Autoregressive Generative Model of Raw Images and Text—0
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain—0
Locally-Focused Face Representation for Sketch-to-Image Generation Using Noise-Induced Refinement—0
DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion Models—0
3D-WAG: Hierarchical Wavelet-Guided Autoregressive Generation for High-Fidelity 3D Shapes—0
Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition Attention—0
SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation—0
Self-Cross Diffusion Guidance for Text-to-Image Synthesis of Similar Subjects—0
Diffusion Self-Distillation for Zero-Shot Customized Image Generation—0
Diffusion Autoencoders for Few-shot Image Generation in Hyperbolic Space—0
Type-R: Automatically Retouching Typos for Text-to-Image Generation—0
PersonaCraft: Personalized Full-Body Image Synthesis for Multiple Identities from Single References Using 3D-Model-Conditioned Diffusion—0
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation—0
FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable Diffusion—0
FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution—0
Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models—0
Prediction with Action: Visual Policy Learning via Joint Denoising Process—0
Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds—0
Reward Incremental Learning in Text-to-Image Generation—0
DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching—0
ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting—0
LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and QuantizationCode0
Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications—0
An Ensemble Approach for Brain Tumor Segmentation and Synthesis—0
Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment—0
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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