Fetching the paper…
Reading the bibliography…
We propose Image-to-Image Schr\"odinger Bridge (I$^2$SB), a new class of conditional diffusion models that directly learn the nonlinear diffusion processes between two given distributions.
Über die umkehrung der naturgesetze
Schrödinger, E · 1931
Earlier work this paper cites.
Sur la théorie relativiste de l’électron et l’interprétation de la mécanique quantique
Schrödinger, E · 1932
Earlier work this paper cites.
The partial differential equation ut+ uux= μ \mu xx
Hopf, E · 1950
Earlier work this paper cites.
On a quasi-linear parabolic equation occurring in aerodynamics
Cole, J. D · 1951
Earlier work this paper cites.
Dynamical theories of brownian motion
Nelson, E · 1967
Earlier work this paper cites.
Probability densities with given marginals
Kullback, S · 1968
Earlier work this paper cites.
Bayesian-based iterative method of image restoration
Richardson, W. H · 1972
Earlier work this paper cites.
Reverse-time diffusion equation models
Anderson, B. D · 1982
Earlier work this paper cites.
A stochastic control approach to reciprocal diffusion processes
Dai Pra, P · 1991
Earlier work this paper cites.
On free energy, stochastic control, and schrödinger processes
Pavon, M. and Wakolbinger, A · 1991
Earlier work this paper cites.
The jpeg still picture compression standard
Wallace, G. K · 1991
Earlier work this paper cites.
Fokker-planck equation
Risken, H · 1996
Earlier work this paper cites.
Digital image restoration
Banham, M. R. and Katsaggelos, A. K · 1997
Earlier work this paper cites.
A convexity principle for interacting gases
McCann, R. J · 1997
Earlier work this paper cites.
Monge’s problem with a quadratic cost by the zero-noise limit of h-path processes
Mikami, T · 2004
Earlier work this paper cites.
Survey of image denoising techniques
Motwani, M. C., Gadiya, M. C., Motwani, R. C., and Harris, F. C · 2004
Earlier work this paper cites.
Pattern recognition and machine learning
Bishop, C. M · 2006
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.
Partial differential equations , volume 19
Evans, L. C · 2010
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., Kingma, D. P., Kumar, A., Ermon, S., and Poole, B · 2011
Earlier work this paper cites.
A connection between score matching and denoising autoencoders
Vincent, P · 2011
Earlier work this paper cites.
From the schrödinger problem to the monge–kantorovich problem
Léonard, C · 2012
Cited alongside, same era.
A survey of the schrödinger problem and some of its connections with optimal transport
Léonard, C · 2013
Cited alongside, same era.
Conditional generative adversarial nets
Mirza, M. and Osindero, S · 2014
Cited alongside, same era.
U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O., Fischer, P., and Brox, T · 2015
Cited alongside, same era.
Deep unsupervised learning using nonequilibrium thermodynamics
Sohl-Dickstein, J., Weiss, E., Maheswaranathan, N., and Ganguli, S · 2015
Cited alongside, same era.
Deep residual learning for image recognition
Diffusion models beat gans on image synthesis
Dhariwal, P. and Nichol, A · 2021
Later among the works it cites.
Shooting schrödinger’s cat
Fernandes, D. L., Vargas, F., Ek, C. H., and Campbell, N. D · 2021
Later among the works it cites.
A deep learning based image enhancement approach for autonomous driving at night
Li, G., Yang, Y., Qu, X., Cao, D., and Li, K · 2021
Later among the works it cites.
Improved denoising diffusion probabilistic models
Nichol, A. Q. and Dhariwal, P · 2021
Later among the works it cites.
Image super-resolution via iterative refinement
Saharia, C., Ho, J., Chan, W., Salimans, T., Fleet, D. J., and Norouzi, M · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
He, K., Zhang, X., Ren, S., and Sun, J · 2016
Cited alongside, same era.
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
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
Isola, P., Zhu, J.-Y., Zhou, T., and Efros, A. A · 2017
Cited alongside, same era.
Photo-realistic single image super-resolution using a generative adversarial network
Ledig, C., Theis, L., Huszár, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., et al · 2017
Cited alongside, same era.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu, J.-Y., Park, T., Isola, P., and Efros, A. A · 2017
Cited alongside, same era.
Neural ordinary differential equations
Chen, T. Q., Rubanova, Y., Bettencourt, J., and Duvenaud, D. K · 2018
Cited alongside, same era.
Multimodal unsupervised image-to-image translation
Huang, X., Liu, M.-Y., Belongie, S., and Kautz, J · 2018
Cited alongside, same era.
Vahdat, A., Kreis, K., and Kautz, J · 2021
Later among the works it cites.
Solving schrödinger bridges via maximum likelihood
Vargas, F., Thodoroff, P., Lawrence, N. D., and Lamacraft, A · 2021
Later among the works it cites.
Understanding deep learning (still) requires rethinking generalization
Zhang, C., Bengio, S., Hardt, M., Recht, B., and Vinyals, O · 2021
Later among the works it cites.
Path integral sampler: a stochastic control approach for sampling
Zhang, Q. and Chen, Y · 2021
Later among the works it cites.
Elucidating the design space of diffusion-based generative models
Karras, T., Aittala, M., Aila, T., and Laine, S · 2022
Later among the works it cites.
Transformers in vision: A survey
Khan, S., Naseer, M., Hayat, M., Zamir, S. W., Khan, F. S., and Shah, M · 2022
Later among the works it cites.
Flow matching for generative modeling
Lipman, Y., Chen, R. T., Ben-Hamu, H., Nickel, M., and Le, M · 2022
Later among the works it cites.
Deep generalized schr \ \backslash ” odinger bridge
Liu, G.-H., Chen, T., So, O., and Theodorou, E. A · 2022
Later among the works it cites.
Diffusion models for adversarial purification
Nie, W., Guo, B., Huang, Y., Xiao, C., Vahdat, A., and Anandkumar, A · 2022
Later among the works it cites.
Diffusevae: Efficient, controllable and high-fidelity generation from low-dimensional latents
Pandey, K., Mukherjee, A., Rai, P., and Kumar, A · 2022
Later among the works it cites.
Hierarchical text-conditional image generation with clip latents
Ramesh, A., Dhariwal, P., Nichol, A., Chu, C., and Chen, M · 2022
Later among the works it cites.
High-resolution image synthesis with latent diffusion models
Rombach, R., Blattmann, A., Lorenz, D., Esser, P., and Ommer, B · 2022
Later among the works it cites.
Palette: Image-to-image diffusion models
Saharia, C., Chan, W., Chang, H., Lee, C., Ho, J., Salimans, T., Fleet, D., and Norouzi, M · 2022
Later among the works it cites.
Conditional simulation using diffusion schrödinger bridges
Shi, Y., De Bortoli, V., Deligiannidis, G., and Doucet, A · 2022
Later among the works it cites.
Pseudoinverse-guided diffusion models for inverse problems
Song, J., Vahdat, A., Mardani, M., and Kautz, J · 2022
Later among the works it cites.
Dual diffusion implicit bridges for image-to-image translation
Su, X., Song, J., Meng, C., and Ermon, S · 2022
Later among the works it cites.
Deblurring via stochastic refinement
Whang, J., Delbracio, M., Talebi, H., Saharia, C., Dimakis, A. G., and Milanfar, P · 2022
Later among the works it cites.