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image-generation-on-cifar-10

Image Generation
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PaperCodeFIDISNFEModelNameReleaseDate
Generative Modeling with Explicit Memory✓ Link1.22GMem2024-12-11
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator✓ Link1.30EDM+DDO2025-03-03
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer✓ Link1.36StyleSAN-XL2023-01-30
Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction1.381Uni-Instruct2025-05-27
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step✓ Link1.3961SiDA-EDM2024-10-19
Compensation Sampling for Improved Convergence in Diffusion Models✓ Link1.50PFGM++ +CS2023-12-11
Diffusion Models Are Innate One-Step Generators✓ Link1.541GDD-I2024-05-31
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation✓ Link1.711SiD2024-04-05
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models✓ Link1.74PFGM++2023-02-08
SciRE-Solver: Accelerating Diffusion Models Sampling by Score-integrand Solver with Recursive Difference1.76SciRE-Solver (with EDM)2023-08-15
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models✓ Link1.77Discriminator Guidance (unconditional)2022-11-28
Elucidating the Exposure Bias in Diffusion Models✓ Link1.8EDM-ES2023-08-29
The GAN is dead; long live the GAN! A Modern GAN Baseline✓ Link1.96R3GAN2025-01-09
[]()1.98Inductive Moment Matching
Truncated Consistency Models2.052TCM2024-10-18
Consistency Models Made Easy✓ Link2.112ECT2024-06-20
Subspace Diffusion Generative Models✓ Link2.17Subspace Diffusion (NSCN++)2022-05-03
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference2.18Posterior Mean Matching2024-12-17
Variational Schrödinger Diffusion Models2.28VSDM2024-05-08
Block Flow: Learning Straight Flow on Data Blocks✓ Link2.29block flow2025-01-20
SciRE-Solver: Accelerating Diffusion Models Sampling by Score-integrand Solver with Recursive Difference2.42 FID (20 NFE)with Score-SDE2023-08-15
Poisson Flow Generative Models✓ Link2.48PFGM2022-09-22
Progressive Distillation for Fast Sampling of Diffusion Models✓ Link2.57PD (NFE=8)2022-02-01
A High-Quality Robust Diffusion Framework for Corrupted Dataset✓ Link2.95RDUOT2023-11-28
Progressive Distillation for Fast Sampling of Diffusion Models✓ Link3.00PD (NFE=4)2022-02-01
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory✓ Link3.01SB-FBSDE2021-10-21
The Disappearance of Timestep Embedding in Modern Time-Dependent Neural Networks✓ Link3.074DDPM2024-05-23
Denoising Diffusion Probabilistic Models✓ Link3.17Denoising Diffusion2020-06-19
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking3.269.67MDM-Prime2025-05-24
Efficient generative adversarial networks using linear additive-attention Transformers✓ Link3.29LadaGAN2024-01-17
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces✓ Link4.58Blackout Diffusion2023-05-18
Differentiable Augmentation for Data-Efficient GAN Training✓ Link4.61DiffAugment-BigGAN2020-06-18
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking4.669.09MDM2025-05-24
Forward-only Diffusion Probabilistic Models✓ Link5.01FoD-ODE2025-05-22
Consistency Models✓ Link5.83CT (Direct Generation, NFE=2)2023-03-02
GENIE: Higher-Order Denoising Diffusion Solvers✓ Link5.97GENIE (NFEs=10)2022-10-11
Flow Matching for Generative Modeling✓ Link6.35FM2022-10-06
ViTGAN: Training GANs with Vision Transformers✓ Link6.66ViTGAN2021-07-09
Score-based Generative Modeling in Latent Space✓ Link6.89LSGM (NLL)2021-06-10
Lessons Learned from the Training of GANs on Artificial Datasets✓ Link8.17MIX-BigGAN2020-07-13
Regularizing Generative Adversarial Networks under Limited Data✓ Link8.46LeCAM (BigGAN + DA)2021-04-07
LT-GAN: Self-Supervised GAN with Latent Transformation Detection9.80CR +LT-BigGAN2020-10-19
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs✓ Link9.91EAGAN (G+D)2021-11-30
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs✓ Link10.14EAGAN (G)2021-11-30
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting✓ Link10.7PPOGAN2020-06-12
Improved Techniques for Training Score-Based Generative Models✓ Link10.87NCSNv22020-06-16
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator✓ Link16.24SNGAN-DCD (Latent)2020-04-05
$Π-$nets: Deep Polynomial Neural Networks✓ Link16.79Pi-net2020-03-08
Deep Polynomial Neural Networks✓ Link16.79ProdPoly2020-06-20
Dist-GAN: An Improved GAN using Distance Constraints✓ Link17.61Dist-GAN2018-03-23
[]()17.87LOGAN
Dual Contradistinctive Generative Autoencoder17.9DC-VAE2020-11-19
Learning Stationary Markov Processes with Contrastive Adjustment✓ Link18.27NK-CA2023-03-09
Contextual Convolutional Neural Networks✓ Link19.66CoProGAN2021-08-17
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs19.83SRN-GANs2019-06-11
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training21.55PeerGAN2021-01-19
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator✓ Link21.67SNGAN-DCD (Pixel)2020-04-05
Spectral Normalization for Generative Adversarial Networks✓ Link21.7SN-GANs2018-02-16
CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction✓ Link23.3CLR-GAN2024-09-30
A Contrastive Learning Approach for Training Variational Autoencoder Priors24.08NCP-VAE2020-10-06
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium✓ Link24.8WGAN-GP + TT Update Rule2017-06-26
On gradient regularizers for MMD GANs✓ Link25.0SN-SMMDGAN2018-05-29
Generative Modeling by Estimating Gradients of the Data Distribution✓ Link25.32NCSN2019-07-12
The relativistic discriminator: a key element missing from standard GAN✓ Link25.60RSGAN-GP2018-07-02
Gradient penalty from a maximum margin perspective✓ Link27.12HingeGAN2019-10-15
First Order Generative Adversarial Networks✓ Link27.4FOGAN2018-02-13
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis✓ Link28.73MSGAN2019-03-13
Improved Training of Wasserstein GANs✓ Link29.3WGAN-GP2017-03-31
Quaternion Generative Adversarial Networks✓ Link31.966QSNGAN2021-04-19
NVAE: A Deep Hierarchical Variational Autoencoder✓ Link32.53NVAE w/ flow2020-07-08
Densely connected normalizing flows✓ Link34.90DenseFlow-74-102021-06-08
[]()35.47ACGAN
Deep Polynomial Neural Networks✓ Link40.45ProdPoly no activation functions2020-06-20
Generative Latent Flow✓ Link44.6GLF+perceptual loss (ours)2019-05-24
Residual Flows for Invertible Generative Modeling✓ Link46.37Residual Flow2019-06-06
[]()48.29RESFLOW
Prescribed Generative Adversarial Networks✓ Link52.202PresGAN2019-10-09
Large Scale GAN Training for High Fidelity Natural Image Synthesis✓ Link9.22BigGAN2018-09-28
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