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

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Showing 5451–5500 of 6689 papers

TitleStatusHype
LDFaceNet: Latent Diffusion-based Network for High-Fidelity Deepfake Generation—0
DiTFastAttn: Attention Compression for Diffusion Transformer Models—0
DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers—0
Ditto: Accelerating Diffusion Model via Temporal Value Similarity—0
Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models—0
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder—0
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal Transport—0
DivCon: Divide and Conquer for Progressive Text-to-Image Generation—0
DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation—0
Diverse and Tailored Image Generation for Zero-shot Multi-label Classification—0
Diverse Diffusion: Enhancing Image Diversity in Text-to-Image Generation—0
DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows—0
Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline—0
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions—0
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning—0
Diverse Single Image Generation with Controllable Global Structure—0
SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene Editing—0
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images—0
Diversity and Diffusion: Observations on Synthetic Image Distributions with Stable Diffusion—0
SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis—0
Diversity Regularized Adversarial Learning—0
DIVE: Taming DINO for Subject-Driven Video Editing—0
SYNOSIS: Image synthesis pipeline for machine vision in metal surface inspection—0
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation—0
Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback—0
Synth^2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings—0
Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANs—0
DOCCI: Descriptions of Connected and Contrasting Images—0
Visual Concept-driven Image Generation with Text-to-Image Diffusion Model—0
Do DALL-E and Flamingo Understand Each Other?—0
Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?—0
On Error Propagation of Diffusion Models—0
Do Distributed Semantic Models Dream of Electric Sheep? Visualizing Word Representations through Image Synthesis—0
Does CLIP perceive art the same way we do?—0
Do I look like a `cat.n.01` to you? A Taxonomy Image Generation Benchmark—0
Domain Adaptation Using Adversarial Learning for Autonomous Navigation—0
Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout—0
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models—0
Domain Generalization for 6D Pose Estimation Through NeRF-based Image Synthesis—0
Visual Conceptual Blending with Large-scale Language and Vision Models—0
Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-On—0
Don't Forget your Inverse DDIM for Image Editing—0
DoodleFormer: Creative Sketch Drawing with Transformers—0
DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI—0
DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase—0
DPCL-Diff: The Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning—0
DPDEdit: Detail-Preserved Diffusion Models for Multimodal Fashion Image Editing—0
Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks—0
Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings—0
Dr.3D: Adapting 3D GANs to Artistic Drawings—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