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GMem
|
Generative Modeling with Explicit Memory
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1.22
|
2024-12-11
|
|
|
EDM+DDO
|
Direct Discriminative Optimization: Your Likeliho…
|
1.30
|
2025-03-03
|
|
|
StyleSAN-XL
|
SAN: Inducing Metrizability of GAN with Discrimin…
|
1.36
|
2023-01-30
|
|
|
SiDA-EDM
|
Adversarial Score identity Distillation: Rapidly …
|
1.40
|
2024-10-19
|
|
|
PFGM++ +CS
|
Compensation Sampling for Improved Convergence in…
|
1.50
|
2023-12-11
|
|
|
GDD-I
|
Diffusion Models Are Innate One-Step Generators
|
1.54
|
2024-05-31
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|
|
SiD
|
Score identity Distillation: Exponentially Fast D…
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1.71
|
2024-04-05
|
|
|
PFGM++
|
PFGM++: Unlocking the Potential of Physics-Inspir…
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1.74
|
2023-02-08
|
|
|
SciRE-Solver (with EDM)
|
SciRE-Solver: Accelerating Diffusion Models Sampl…
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1.76
|
2023-08-15
|
|
|
Discriminator Guidance (unconditional)
|
Refining Generative Process with Discriminator Gu…
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1.77
|
2022-11-28
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|
|
EDM-ES
|
Elucidating the Exposure Bias in Diffusion Models
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1.80
|
2023-08-29
|
|
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R3GAN
|
The GAN is dead; long live the GAN! A Modern GAN …
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1.96
|
2025-01-09
|
|
|
TCM
|
Truncated Consistency Models
|
2.05
|
2024-10-18
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|
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ECT
|
Consistency Models Made Easy
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2.11
|
2024-06-20
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|
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Subspace Diffusion (NSCN++)
|
Subspace Diffusion Generative Models
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2.17
|
2022-05-03
|
|
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Posterior Mean Matching
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Posterior Mean Matching: Generative Modeling thro…
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2.18
|
2024-12-17
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|
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VSDM
|
Variational Schrödinger Diffusion Models
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2.28
|
2024-05-08
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|
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block flow
|
Block Flow: Learning Straight Flow on Data Blocks
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2.29
|
2025-01-20
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|
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PFGM
|
Poisson Flow Generative Models
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2.48
|
2022-09-22
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|
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PD (NFE=8)
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Progressive Distillation for Fast Sampling of Dif…
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2.57
|
2022-02-01
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|
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RDUOT
|
A High-Quality Robust Diffusion Framework for Cor…
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2.95
|
2023-11-28
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|
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PD (NFE=4)
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Progressive Distillation for Fast Sampling of Dif…
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3.00
|
2022-02-01
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|
|
SB-FBSDE
|
Likelihood Training of Schrödinger Bridge using F…
|
3.01
|
2021-10-21
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|
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DDPM
|
The Disappearance of Timestep Embedding in Modern…
|
3.07
|
2024-05-23
|
|
|
Denoising Diffusion
|
Denoising Diffusion Probabilistic Models
|
3.17
|
2020-06-19
|
|
|
MDM-Prime
|
Beyond Masked and Unmasked: Discrete Diffusion Mo…
|
3.26
|
2025-05-24
|
|
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LadaGAN
|
Efficient generative adversarial networks using l…
|
3.29
|
2024-01-17
|
|
|
Blackout Diffusion
|
Blackout Diffusion: Generative Diffusion Models i…
|
4.58
|
2023-05-18
|
|
|
DiffAugment-BigGAN
|
Differentiable Augmentation for Data-Efficient GA…
|
4.61
|
2020-06-18
|
|
|
MDM
|
Beyond Masked and Unmasked: Discrete Diffusion Mo…
|
4.66
|
2025-05-24
|
|
|
FoD-ODE
|
Forward-only Diffusion Probabilistic Models
|
5.01
|
2025-05-22
|
|
|
CT (Direct Generation, NFE=2)
|
Consistency Models
|
5.83
|
2023-03-02
|
|
|
GENIE (NFEs=10)
|
GENIE: Higher-Order Denoising Diffusion Solvers
|
5.97
|
2022-10-11
|
|
|
FM
|
Flow Matching for Generative Modeling
|
6.35
|
2022-10-06
|
|
|
ViTGAN
|
ViTGAN: Training GANs with Vision Transformers
|
6.66
|
2021-07-09
|
|
|
LSGM (NLL)
|
Score-based Generative Modeling in Latent Space
|
6.89
|
2021-06-10
|
|
|
MIX-BigGAN
|
Lessons Learned from the Training of GANs on Arti…
|
8.17
|
2020-07-13
|
|
|
LeCAM (BigGAN + DA)
|
Regularizing Generative Adversarial Networks unde…
|
8.46
|
2021-04-07
|
|
|
BigGAN
|
Large Scale GAN Training for High Fidelity Natura…
|
9.22
|
2018-09-28
|
|
|
CR +LT-BigGAN
|
LT-GAN: Self-Supervised GAN with Latent Transform…
|
9.80
|
2020-10-19
|
|
|
EAGAN (G+D)
|
EAGAN: Efficient Two-stage Evolutionary Architect…
|
9.91
|
2021-11-30
|
|
|
EAGAN (G)
|
EAGAN: Efficient Two-stage Evolutionary Architect…
|
10.14
|
2021-11-30
|
|
|
PPOGAN
|
Improving GAN Training with Probability Ratio Cli…
|
10.70
|
2020-06-12
|
|
|
NCSNv2
|
Improved Techniques for Training Score-Based Gene…
|
10.87
|
2020-06-16
|
|
|
SNGAN-DCD (Latent)
|
Discriminator Contrastive Divergence: Semi-Amorti…
|
16.24
|
2020-04-05
|
|
|
Pi-net
|
$Π-$nets: Deep Polynomial Neural Networks
|
16.79
|
2020-03-08
|
|
|
ProdPoly
|
Deep Polynomial Neural Networks
|
16.79
|
2020-06-20
|
|
|
Dist-GAN
|
Dist-GAN: An Improved GAN using Distance Constrai…
|
17.61
|
2018-03-23
|
|
|
DC-VAE
|
Dual Contradistinctive Generative Autoencoder
|
17.90
|
2020-11-19
|
|
|
NK-CA
|
Learning Stationary Markov Processes with Contras…
|
18.27
|
2023-03-09
|
|
|
CoProGAN
|
Contextual Convolutional Neural Networks
|
19.66
|
2021-08-17
|
|
|
SRN-GANs
|
Stable Rank Normalization for Improved Generaliza…
|
19.83
|
2019-06-11
|
|
|
PeerGAN
|
DuelGAN: A Duel Between Two Discriminators Stabil…
|
21.55
|
2021-01-19
|
|
|
SNGAN-DCD (Pixel)
|
Discriminator Contrastive Divergence: Semi-Amorti…
|
21.67
|
2020-04-05
|
|
|
SN-GANs
|
Spectral Normalization for Generative Adversarial…
|
21.70
|
2018-02-16
|
|
|
NCP-VAE
|
A Contrastive Learning Approach for Training Vari…
|
24.08
|
2020-10-06
|
|
|
WGAN-GP + TT Update Rule
|
GANs Trained by a Two Time-Scale Update Rule Conv…
|
24.80
|
2017-06-26
|
|
|
SN-SMMDGAN
|
On gradient regularizers for MMD GANs
|
25.00
|
2018-05-29
|
|
|
NCSN
|
Generative Modeling by Estimating Gradients of th…
|
25.32
|
2019-07-12
|
|
|
RSGAN-GP
|
The relativistic discriminator: a key element mis…
|
25.60
|
2018-07-02
|
|
|
HingeGAN
|
Gradient penalty from a maximum margin perspective
|
27.12
|
2019-10-15
|
|
|
FOGAN
|
First Order Generative Adversarial Networks
|
27.40
|
2018-02-13
|
|
|
MSGAN
|
Mode Seeking Generative Adversarial Networks for …
|
28.73
|
2019-03-13
|
|
|
WGAN-GP
|
Improved Training of Wasserstein GANs
|
29.30
|
2017-03-31
|
|
|
QSNGAN
|
Quaternion Generative Adversarial Networks
|
31.97
|
2021-04-19
|
|
|
NVAE w/ flow
|
NVAE: A Deep Hierarchical Variational Autoencoder
|
32.53
|
2020-07-08
|
|
|
DenseFlow-74-10
|
Densely connected normalizing flows
|
34.90
|
2021-06-08
|
|
|
ProdPoly no activation functions
|
Deep Polynomial Neural Networks
|
40.45
|
2020-06-20
|
|
|
GLF+perceptual loss (ours)
|
Generative Latent Flow
|
44.60
|
2019-05-24
|
|
|
Residual Flow
|
Residual Flows for Invertible Generative Modeling
|
46.37
|
2019-06-06
|
|
|
PresGAN
|
Prescribed Generative Adversarial Networks
|
52.20
|
2019-10-09
|
|
|
with Score-SDE
|
SciRE-Solver: Accelerating Diffusion Models Sampl…
|
|
2023-08-15
|
|