Fetching the paper…
Reading the bibliography…
Diffusion models (DMs) have established themselves as the state-of-the-art generative modeling approach in the visual domain and beyond.
Stochastic Differential Equations (3rd Ed.): An Introduction with Applications
Oksendal, B · 1992
Earlier work this paper cites.
Numerical Solution of Ordinary Differential Equations
Atkinson, K., Han, W., and Stewart, D. E · 2009
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., and Fei-Fei, L · 2009
Earlier work this paper cites.
Learning multiple layers of features from tiny images
Krizhevsky, A., Hinton, G., et al · 2009
Earlier work this paper cites.
Denoising diffusion implicit models
Song, J., Meng, C., and Ermon, S · 2010
Earlier work this paper cites.
Score-based generative modeling through stochastic differential equations
Song, Y., Sohl-Dickstein, J. N., Kingma, D. P., Kumar, A., Ermon, S., and Poole, B · 2011
Earlier work this paper cites.
Microsoft coco: Common objects in context
Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., and Zitnick, C. L · 2014
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium, 2017
Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., and Hochreiter, S · 2017
Earlier work this paper cites.
Demystifying MMD GANs
Binkowski, M., Sutherland, D. J., Arbel, M., and Gretton, A · 2018
Earlier work this paper cites.
A style-based generator architecture for generative adversarial networks
Karras, T., Laine, S., and Aila, T · 2019
Earlier work this paper cites.
Denoising diffusion probabilistic models
Ho, J., Jain, A., and Abbeel, P · 2020
Earlier work this paper cites.
Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News
Vaccari, C. and Chadwick, A · 2020
Earlier work this paper cites.
Frozen in time: A joint video and image encoder for end-to-end retrieval
Bain, M., Nagrani, A., Varol, G., and Zisserman, A · 2021
Earlier work this paper cites.
Diffusion models beat gans on image synthesis, 2021
Dhariwal, P. and Nichol, A · 2021
Earlier work this paper cites.
A variational perspective on diffusion-based generative models and score matching
Huang, C.-W., Lim, J. H., and Courville, A. C · 2021
Earlier work this paper cites.
Gotta go fast when generating data with score-based models
Jolicoeur-Martineau, A., Li, K., Piche-Taillefer, R., Kachman, T., and Mitliagkas, I · 2021
Earlier work this paper cites.
The Creation and Detection of Deepfakes: A Survey
Mirsky, Y. and Lee, W · 2021
Earlier work this paper cites.
Deep Learning for Deepfakes Creation and Detection: A Survey
Nguyen, T. T., Nguyen, Q. V. H., Nguyen, C. M., Nguyen, D., Nguyen, D. T., and Nahavandi, S · 2021
Earlier work this paper cites.
Improved denoising diffusion probabilistic models
Nichol, A. and Dhariwal, P · 2021
Earlier work this paper cites.
High-resolution image synthesis with latent diffusion models
Rombach, R., Blattmann, A., Lorenz, D., Esser, P., and Ommer, B · 2021
Earlier work this paper cites.
Score-based generative modeling in latent space
Vahdat, A., Kreis, K., and Kautz, J · 2021
Cited alongside, same era.
Learning to efficiently sample from diffusion probabilistic models
Watson, D., Ho, J., Norouzi, M., and Chan, W · 2021
Cited alongside, same era.
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Chen, S., Chewi, S., Li, J., Li, Y., Salim, A., and Zhang, A. R · 2022
Cited alongside, same era.
GENIE: Higher-Order Denoising Diffusion Solvers
Dockhorn, T., Vahdat, A., and Kreis, K · 2022
Cited alongside, same era.
Ho, J., Salimans, T., Gritsenko, A., Chan, W., Norouzi, M., and Fleet, D. J · 2022
Cited alongside, same era.
Fast sampling of diffusion models with exponential integrator
Zhang, Q. and Chen, Y · 2022
Later among the works it cites.
https://github.com/deep-floyd/IF , 2023
Deepfloyd. if · 2023
Later among the works it cites.
Stochastic interpolants: A unifying framework for flows and diffusions
Albergo, M. S., Boffi, N. M., and Vanden-Eijnden, E · 2023
Later among the works it cites.
Instructpix2pix: Learning to follow image editing instructions
Brooks, T., Holynski, A., and Efros, A. A · 2023
Later among the works it cites.
Elucidating the solution space of extended reverse-time sde for diffusion models
Cui, Q., Zhang, X., Lu, Z., and Liao, Q · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Planning with diffusion for flexible behavior synthesis
Janner, M., Du, Y., Tenenbaum, J., and Levine, S · 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.
Flow matching for generative modeling
Lipman, Y., Chen, R. T., Ben-Hamu, H., Nickel, M., and Le, M · 2022
Cited alongside, same era.
Pseudo numerical methods for diffusion models on manifolds
Liu, L., Ren, Y., Lin, Z., and Zhao, Z · 2022
Cited alongside, same era.
Repaint: Inpainting using denoising diffusion probabilistic models
Lugmayr, A., Danelljan, M., Romero, A., Yu, F., Timofte, R., and Gool, L. V · 2022
Cited alongside, same era.
Accelerating diffusion models via early stop of the diffusion process
Lyu, Z., Xudong, X., Yang, C., Lin, D., and Dai, B · 2022
Cited alongside, same era.
On distillation of guided diffusion models
Meng, C., Gao, R., Kingma, D. P., Ermon, S., Ho, J., and Salimans, T · 2022
Cited alongside, same era.
simple diffusion: End-to-end diffusion for high resolution images
Hoogeboom, E., Heek, J., and Salimans, T · 2023
Later among the works it cites.
Consistency trajectory models: Learning probability flow ode trajectory of diffusion
Kim, D., Lai, C.-H., Liao, W.-H., Murata, N., Takida, Y., Uesaka, T., He, Y., Mitsufuji, Y., and Ermon, S · 2023
Later among the works it cites.
Magic3d: High-resolution text-to-3d content creation
Lin, C.-H., Gao, J., Tang, L., Takikawa, T., Zeng, X., Huang, X., Kreis, K., Fidler, S., Liu, M.-Y., and Lin, T.-Y · 2023
Later among the works it cites.
Instaflow: One step is enough for high-quality diffusion-based text-to-image generation
Liu, X., Zhang, X., Ma, J., Peng, J., and Liu, Q · 2023
Later among the works it cites.
Latent consistency models: Synthesizing high-resolution images with few-step inference
Luo, S., Tan, Y., Huang, L., Li, J., and Zhao, H · 2023
Later among the works it cites.
Sdxl: Improving latent diffusion models for high-resolution image synthesis
Podell, D., English, Z., Lacey, K., Blattmann, A., Dockhorn, T., Muller, J., Penna, J., and Rombach, R · 2023
Later among the works it cites.
Consistency models, 2023
Song, Y., Dhariwal, P., Chen, M., and Sutskever, I · 2023
Later among the works it cites.
Learning to schedule in diffusion probabilistic models
Wang, Y., Wang, X., Dinh, A.-D., Du, B., and Xu, C · 2023
Later among the works it cites.
Towards more accurate diffusion model acceleration with a timestep aligner
Xia, M., Shen, Y., Lei, C., Zhou, Y., Yi, R., Zhao, D., Wang, W., and Liu, Y.-j · 2023
Later among the works it cites.
One-step diffusion with distribution matching distillation
Yin, T., Gharbi, M., Zhang, R., Shechtman, E., Durand, F., Freeman, W. T., and Park, T · 2023
Later among the works it cites.
Unipc: A unified predictor-corrector framework for fast sampling of diffusion models
Zhao, W., Bai, L., Rao, Y., Zhou, J., and Lu, J · 2023
Later among the works it cites.
Scaling rectified flow transformers for high-resolution image synthesis
Esser, P., Kulal, S., Blattmann, A., Entezari, R., Müller, J., Saini, H., Levi, Y., Lorenz, D., Sauer, A., Boesel, F., Podell, D., Dockhorn, T., English, Z., Lacey, K., Goodwin, A., Marek, Y., and Rombach, R · 2024
Closest in time.
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
Closest in time.
Dpm-solver-v3: Improved diffusion ode solver with empirical model statistics
Zheng, K., Lu, C., Chen, J., and Zhu, J · 2024
Closest in time.