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 3951–4000 of 6689 papers

TitleStatusHype
Parametric Implicit Face Representation for Audio-Driven Facial Reenactment—0
Parasite: A Steganography-based Backdoor Attack Framework for Diffusion Models—0
PARASOL: Parametric Style Control for Diffusion Image Synthesis—0
PaReNeRF: Toward Fast Large-scale Dynamic NeRF with Patch-based Reference—0
PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models—0
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation—0
PartDiff: Image Super-resolution with Partial Diffusion Models—0
Partially Conditioned Generative Adversarial Networks—0
Partially Conditioned Patch Parallelism for Accelerated Diffusion Model Inference—0
Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics—0
Unified High-binding Watermark for Unconditional Image Generation Models—0
PassFlow: Guessing Passwords with Generative Flows—0
PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-on—0
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model—0
Patch Correspondences for Interpreting Pixel-level CNNs—0
3DGen-Bench: Comprehensive Benchmark Suite for 3D Generative Models—0
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision Language Audio and Action—0
Patch-enhanced Mask Encoder Prompt Image Generation—0
Patch-GAN Transfer Learning with Reconstructive Models for Cloud Removal—0
Patch Matters: Training-free Fine-grained Image Caption Enhancement via Local Perception—0
Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning—0
PATE-TripleGAN: Privacy-Preserving Image Synthesis with Gaussian Differential Privacy—0
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks—0
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation—0
3DGEN: A GAN-based approach for generating novel 3D models from image data—0
Pattern Detection in the Activation Space for Identifying Synthesized Content—0
PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models—0
3DGAUnet: 3D generative adversarial networks with a 3D U-Net based generator to achieve the accurate and effective synthesis of clinical tumor image data for pancreatic cancer—0
PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier—0
Unified Multi-Modal Image Synthesis for Missing Modality Imputation—0
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training—0
Peer is Your Pillar: A Data-unbalanced Conditional GANs for Few-shot Image Generation—0
Unified Multi-Modal Latent Diffusion for Joint Subject and Text Conditional Image Generation—0
PerceptionGAN: Real-world Image Construction from Provided Text through Perceptual Understanding—0
Perceptions and Realities of Text-to-Image Generation—0
Perceptual Artifacts Localization for Image Synthesis Tasks—0
Performance Evaluation of Deep Generative Models for Generating Hand-Written Character Images—0
Per Garment Capture and Synthesis for Real-time Virtual Try-on—0
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation—0
PersonaCraft: Personalized Full-Body Image Synthesis for Multiple Identities from Single References Using 3D-Model-Conditioned Diffusion—0
Personalize Anything for Free with Diffusion Transformer—0
Preference Adaptive and Sequential Text-to-Image Generation—0
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation—0
Personalized Large Vision-Language Models—0
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks—0
Personalized Residuals for Concept-Driven Text-to-Image Generation—0
Unified Prompt Attack Against Text-to-Image Generation Models—0
3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation—0
Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models—0
TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models—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