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 1601–1650 of 6689 papers

TitleStatusHype
AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image GenerationCode1
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion ModelsCode1
Efficient Diffusion Training via Min-SNR Weighting StrategyCode1
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without RetrainingCode1
Contrastive Feature Loss for Image PredictionCode1
Efficient Diffusion Models: A Comprehensive Survey from Principles to PracticesCode1
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement LearningCode1
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
Complementary Feature Enhanced Network with Vision Transformer for Image DehazingCode1
HWD: A Novel Evaluation Score for Styled Handwritten Text GenerationCode1
Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head MotionCode1
Efficient Feature Extraction for High-resolution Video Frame InterpolationCode1
MAGVLT: Masked Generative Vision-and-Language TransformerCode1
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning RulesCode1
IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing ImagesCode1
Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion ModelsCode1
Bridging the Gap Between f-GANs and Wasserstein GANsCode1
Write and Paint: Generative Vision-Language Models are Unified Modal LearnersCode1
Effective and Efficient Masked Image Generation ModelsCode1
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy ProtectionCode1
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative RefinementCode1
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by SelectionCode1
Continuous-Time Functional Diffusion ProcessesCode1
Illiterate DALL-E Learns to ComposeCode1
Efficient Conditional GAN Transfer with Knowledge Propagation across ClassesCode1
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like SketchingCode1
Continuous Speculative Decoding for Autoregressive Image GenerationCode1
Efficient Content-Based Sparse Attention with Routing TransformersCode1
Continuous Language Generative FlowCode1
3D-Aware Semantic-Guided Generative Model for Human SynthesisCode1
Editing in Style: Uncovering the Local Semantics of GANsCode1
Elucidating The Design Space of Classifier-Guided Diffusion GenerationCode1
DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion ModelsCode1
BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray ImagesCode1
BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion ModelsCode1
Diffuse Everything: Multimodal Diffusion Models on Arbitrary State SpacesCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
Unsupervised Sketch-to-Photo SynthesisCode1
Manipulating Embeddings of Stable Diffusion PromptsCode1
MedITok: A Unified Tokenizer for Medical Image Synthesis and InterpretationCode1
Synthesizing Optical and SAR Imagery From Land Cover Maps and Auxiliary Raster DataCode1
Modulated Contrast for Versatile Image SynthesisCode1
Continual Learning of Diffusion Models with Generative DistillationCode1
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of PneumothoraxCode1
Attribute-guided image generation from layoutCode1
Contextual Convolutional Neural NetworksCode1
Attribute Group Editing for Reliable Few-shot Image GenerationCode1
Anycost GANs for Interactive Image Synthesis and EditingCode1
C2N: Practical Generative Noise Modeling for Real-World DenoisingCode1
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationCode1
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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