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This paper presents Model-guidance (MG), a novel objective for training diffusion model that addresses and removes of the commonly used Classifier-free guidance (CFG).
A convexity principle for interacting gases
McCann, R. J · 1997
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Imagenet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., and Fei-Fei, L · 2009
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Adam: A method for stochastic optimization
Kingma, D. P · 2014
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Imagenet large scale visual recognition challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Sohl-Dickstein, J., Weiss, E., Maheswaranathan, N., and Ganguli, S · 2015
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Improved techniques for training gans
Salimans, T., Goodfellow, I., Zaremba, W., Cheung, V., Radford, A., and Chen, X · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., and Hochreiter, S · 2017
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A style-based generator architecture for generative adversarial networks
Karras, T., Laine, S., and Aila, T · 2018
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Large scale gan training for high fidelity natural image synthesis
Brock, A., Donahue, J., and Simonyan, K · 2019
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Improved precision and recall metric for assessing generative models
Kynkäänniemi, T., Karras, T., Laine, S., Lehtinen, J., and Aila, T · 2019
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Decoupled weight decay regularization
Loshchilov, I · 2019
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Generative modeling by estimating gradients of the data distribution
Song, Y. and Ermon, S · 2019
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Bootstrap your own latent-a new approach to self-supervised learning
Grill, J.-B., Strub, F., Altché, F., Tallec, C., Richemond, P., Buchatskaya, E., Doersch, C., Avila Pires, B., Guo, Z., Gheshlaghi Azar, M., et al · 2020
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Denoising diffusion probabilistic models
Ho, J., Jain, A., and Abbeel, P · 2020
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Diffusion models beat gans on image synthesis
Dhariwal, P. and Nichol, A · 2021
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Classifier-free diffusion guidance
Ho, J. and Salimans, T · 2021
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Generating images with sparse representations
Nash, C., Menick, J., Dieleman, S., and Battaglia, P · 2021
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Improved denoising diffusion probabilistic models
Nichol, A. Q. and Dhariwal, P · 2021
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Video diffusion models
Ho, J., Salimans, T., Gritsenko, A., Chan, W., Norouzi, M., and Fleet, D. J · 2022
Cited alongside, same era.
Elucidating the design space of diffusion-based generative models
Karras, T., Aittala, M., Aila, T., and Laine, S · 2022
Cited alongside, same era.
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Nichol, A. Q., Dhariwal, P., Ramesh, A., Shyam, P., Mishkin, P., Mcgrew, B., Sutskever, I., and Chen, M · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Rombach, R., Blattmann, A., Lorenz, D., Esser, P., and Ommer, B · 2022
Cited alongside, same era.
Photorealistic text-to-image diffusion models with deep language understanding
Saharia, C., Chan, W., Saxena, S., Li, L., Whang, J., Denton, E. L., Ghasemipour, K., Gontijo Lopes, R., Karagol Ayan, B., Salimans, T., et al · 2022
Cited alongside, same era.
Stylegan-xl: Scaling stylegan to large diverse datasets
Flux.1 model family, 2024
Black-Forest-Labs · 2024
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Pixart- α \alpha : Fast training of diffusion transformer for photorealistic text-to-image synthesis
Chen, J., Jincheng, Y., Chongjian, G., Yao, L., Xie, E., Wang, Z., Kwok, J., Luo, P., Lu, H., and Li, Z · 2024
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One step diffusion via shortcut models
Frans, K., Hafner, D., Levine, S., and Abbeel, P · 2024
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Guiding a diffusion model with a bad version of itself
Karras, T., Aittala, M., Kynkäänniemi, T., Lehtinen, J., Aila, T., and Laine, S · 2024
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Applying guidance in a limited interval improves sample and distribution quality in diffusion models
Kynkäänniemi, T., Aittala, M., Karras, T., Laine, S., Aila, T., and Lehtinen, J · 2024
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Sauer, A., Schwarz, K., and Geiger, A · 2022
Cited alongside, same era.
Stochastic interpolants: A unifying framework for flows and diffusions
Albergo, M. S., Boffi, N. M., and Vanden-Eijnden, E · 2023
Cited alongside, same era.
All are worth words: A vit backbone for diffusion models
Bao, F., Nie, S., Xue, K., Cao, Y., Li, C., Su, H., and Zhu, J · 2023
Cited alongside, same era.
Align your latents: High-resolution video synthesis with latent diffusion models
Blattmann, A., Rombach, R., Ling, H., Dockhorn, T., Kim, S. W., Fidler, S., and Kreis, K · 2023
Cited alongside, same era.
Masked diffusion transformer is a strong image synthesizer
Gao, S., Zhou, P., Cheng, M.-M., and Yan, S · 2023
Cited alongside, same era.
simple diffusion: End-to-end diffusion for high resolution images
Hoogeboom, E., Heek, J., and Salimans, T · 2023
Cited alongside, same era.
Understanding the diffusion objective as a weighted integral of elbos
Kingma, D. P. and Gao, R · 2023
Cited alongside, same era.
Autoregressive image generation without vector quantization
Li, T., Tian, Y., Li, H., Deng, M., and He, K · 2024
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Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers
Ma, N., Goldstein, M., Albergo, M. S., Boffi, N. M., Vanden-Eijnden, E., and Xie, S · 2024
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Sdxl: Improving latent diffusion models for high-resolution image synthesis
Podell, D., English, Z., Lacey, K., Blattmann, A., Dockhorn, T., Müller, J., Penna, J., and Rombach, R · 2024
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Movie gen: A cast of media foundation models
Polyak, A., Zohar, A., Brown, A., Tjandra, A., Sinha, A., Lee, A., Vyas, A., Shi, B., Ma, C.-Y., Chuang, C.-Y., et al · 2024
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Fast high-resolution image synthesis with latent adversarial diffusion distillation
Sauer, A., Boesel, F., Dockhorn, T., Blattmann, A., Esser, P., and Rombach, R · 2024
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Introducing stable diffusion 3.5, 2024
Stability-AI · 2024
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Visual autoregressive modeling: Scalable image generation via next-scale prediction
Tian, K., Jiang, Y., Yuan, Z., Peng, B., and Wang, L · 2024
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Improving and generalizing flow-based generative models with minibatch optimal transport
Tong, A., FATRAS, K., Malkin, N., Huguet, G., Zhang, Y., Rector-Brooks, J., Wolf, G., and Bengio, Y · 2024
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Lavie: High-quality video generation with cascaded latent diffusion models
Wang, Y., Chen, X., Ma, X., Zhou, S., Huang, Z., Wang, Y., Yang, C., He, Y., Yu, J., Yang, P., et al · 2024
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Characteristic guidance: Non-linear correction for diffusion model at large guidance scale
Zheng, C. and Lan, Y · 2024
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Photorealistic video generation with diffusion models
Gupta, A., Yu, L., Sohn, K., Gu, X., Hahn, M., Li, F.-F., Essa, I., Jiang, L., and Lezama, J · 2025
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Reconstruction vs. generation: Taming optimization dilemma in latent diffusion models
Yao, J. and Wang, X · 2025
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