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Denoising Diffusion Models (DDMs) have emerged as a strong competitor to Generative Adversarial Networks (GANs).
A 3d facial expression database for facial behavior research
L. Yin, X. Wei, Y. Sun, J. Wang, and M. Rosato · 2006
Earlier work this paper cites.
Incremental learning for robust visual tracking
D. A. Ross, J. Lim, R.-S. Lin, and M.-H. Yang · 2008
Earlier work this paper cites.
Numerical methods for large eigenvalue problems: revised edition
Y. Saad · 2011
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Deep learning face attributes in the wild
Z. Liu, P. Luo, X. Wang, and X. Tang · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Earlier work this paper cites.
Deep unsupervised learning using nonequilibrium thermodynamics
J. Sohl-Dickstein, E. Weiss, N. Maheswaranathan, and S. Ganguli · 2015
Earlier work this paper cites.
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2016
Earlier work this paper cites.
Fine-grained head pose estimation without keypoints
N. Ruiz, E. Chong, and J. M. Rehg · 2018
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Ganspace: Discovering interpretable gan controls
E. Härkönen, A. Hertzmann, J. Lehtinen, and S. Paris · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
J. Ho, A. Jain, and P. Abbeel · 2020
Earlier work this paper cites.
Image2StyleGAN++: How to edit the embedded images?
Y. Q. Rameen Abdal and P. Wonka · 2020
Earlier work this paper cites.
Interpreting the latent space of gans for semantic face editing
Y. Shen, J. Gu, X. Tang, and B. Zhou · 2020
Earlier work this paper cites.
Interfacegan: Interpreting the disentangled face representation learned by gans
Y. Shen, C. Yang, X. Tang, and B. Zhou · 2020
Earlier work this paper cites.
Denoising diffusion implicit models
J. Song, C. Meng, and S. Ermon · 2020
Earlier work this paper cites.
StyleRig: Rigging StyleGAN for 3d control over portrait images
A. Tewari, M. Elgharib, G. Bharaj, F. Bernard, H.-P. Seidel, P. Pérez, M. Zöllhofer, and C. Theobalt · 2020
Earlier work this paper cites.
Stylespace analysis: Disentangled controls for StyleGAN image generation
Z. Wu, D. Lischinski, and E. Shechtman · 2020
Cited alongside, same era.
Diffusion models beat gans on image synthesis
P. Dhariwal and A. Nichol · 2021
Cited alongside, same era.
Classifier-free diffusion guidance
J. Ho and T. Salimans · 2021
Cited alongside, same era.
Anycost gans for interactive image synthesis and editing
J. Lin, R. Zhang, F. Ganz, S. Han, and J.-Y. Zhu · 2021
Cited alongside, same era.
Styleclip: Text-driven manipulation of stylegan imagery
O. Patashnik, Z. Wu, E. Shechtman, D. Cohen-Or, and D. Lischinski · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, and et al · 2021
Cited alongside, same era.
SDEdit: Guided image synthesis and editing with stochastic differential equations
C. Meng, Y. He, Y. Song, J. Song, J. Wu, J.-Y. Zhu, and S. Ermon · 2022
Later among the works it cites.
Null-text inversion for editing real images using guided diffusion models
R. Mokady, A. Hertz, K. Aberman, Y. Pritch, and D. Cohen-Or · 2022
Later among the works it cites.
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
A. Q. Nichol, P. Dhariwal, A. Ramesh, P. Shyam, P. Mishkin, B. Mcgrew, I. Sutskever, and M. Chen · 2022
Later among the works it cites.
Diffusion autoencoders: Toward a meaningful and decodable representation
K. Preechakul, N. Chatthee, S. Wizadwongsa, and S. Suwajanakorn · 2022
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Hierarchical text-conditional image generation with CLIP latents
A. Ramesh, P. Dhariwal, A. Nichol, C. Chu, and M. Chen · 2022
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Zero-shot text-to-image generation, 2021
A. Ramesh, M. Pavlov, G. Goh, S. Gray, C. Voss, A. Radford, M. Chen, and I. Sutskever · 2021
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models, 2021
R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer · 2021
Cited alongside, same era.
Closed-form factorization of latent semantics in gans
Y. Shen and B. Zhou · 2021
Cited alongside, same era.
GAN Steerability without optimization
N. Spingarn, R. Banner, and T. Michaeli · 2021
Cited alongside, same era.
Low-rank subspaces in GANs
J. Zhu, R. Feng, Y. Shen, D. Zhao, Z. Zha, J. Zhou, and Q. Chen · 2021
Cited alongside, same era.
Diffedit: Diffusion-based semantic image editing with mask guidance
G. Couairon, J. Verbeek, H. Schwenk, and M. Cord · 2022
Cited alongside, same era.
Later among the works it cites.
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
N. Ruiz, Y. Li, V. Jampani, Y. Pritch, M. Rubinstein, and K. Aberman · 2022
Later among the works it cites.
Photorealistic text-to-image diffusion models with deep language understanding
C. Saharia, W. Chan, S. Saxena, L. Li, J. Whang, E. Denton, S. K. S. Ghasemipour, R. Gontijo-Lopes, B. K. Ayan, T. Salimans, J. Ho, D. J. Fleet, and M. Norouzi · 2022
Later among the works it cites.
Unitune: Text-driven image editing by fine tuning an image generation model on a single image, 2022
D. Valevski, M. Kalman, Y. Matias, and Y. Leviathan · 2022
Later among the works it cites.
Diffusers: State-of-the-art diffusion models
P. von Platen, S. Patil, A. Lozhkov, P. Cuenca, N. Lambert, K. Rasul, M. Davaadorj, and T. Wolf · 2022
Later among the works it cites.
Gan-generated faces detection: A survey and new perspectives
X. Wang, H. Guo, S. Hu, M.-C. Chang, and S. Lyu · 2022
Later among the works it cites.
Third time’s the charm? image and video editing with stylegan3
Y. Alaluf, O. Patashnik, Z. Wu, A. Zamir, E. Shechtman, D. Lischinski, and D. Cohen-Or · 2023
Closest in time.
Imagic: Text-based real image editing with diffusion models
B. Kawar, S. Zada, O. Lang, O. Tov, H. Chang, T. Dekel, I. Mosseri, and M. Irani · 2023
Closest in time.
Diffusion-based image translation using disentangled style and content representation
G. Kwon and J. C. Ye · 2023
Closest in time.
Diffusion models already have a semantic latent space
M. Kwon, J. Jeong, and Y. Uh · 2023
Closest in time.
Unsupervised discovery of semantic latent directions in diffusion models
Y.-H. Park, M. Kwon, J. Jo, and Y. Uh · 2023
Closest in time.
Plug-and-play diffusion features for text-driven image-to-image translation
N. Tumanyan, M. Geyer, S. Bagon, and T. Dekel · 2023
Closest in time.