Fetching the paper…
Reading the bibliography…
Sampling from diffusion probabilistic models (DPMs) is often expensive for high-quality image generation and typically requires many steps with a large model.
Understanding image representations by measuring their equivariance and equivalence
Lenc, K. and Vedaldi, A · 2015
Earlier work this paper cites.
Rethinking the inception architecture for computer vision
Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., and Wojna, Z · 2016
Earlier work this paper cites.
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
Earlier work this paper cites.
Denoising diffusion probabilistic models
Ho, J., Jain, A., and Abbeel, P · 2020
Earlier work this paper cites.
Revisiting model stitching to compare neural representations
Bansal, Y., Nakkiran, P., and Barak, B · 2021
Earlier work this paper cites.
Similarity and matching of neural network representations
Csiszárik, A., Korösi-Szabó, P., Matszangosz, Á. K., Papp, G., and Varga, D · 2021
Earlier work this paper cites.
Diffusion models beat gans on image synthesis
Dhariwal, P. and Nichol, A · 2021
Earlier work this paper cites.
Clipscore: A reference-free evaluation metric for image captioning
Hessel, J., Holtzman, A., Forbes, M., Bras, R. L., and Choi, Y · 2021
Earlier work this paper cites.
Gotta go fast when generating data with score-based models
Jolicoeur-Martineau, A., Li, K., Piché-Taillefer, R., Kachman, T., and Mitliagkas, I · 2021
Earlier work this paper cites.
Diffwave: A versatile diffusion model for audio synthesis
Kong, Z., Ping, W., Huang, J., Zhao, K., and Catanzaro, B · 2021
Earlier work this paper cites.
On linear identifiability of learned representations
Roeder, G., Metz, L., and Kingma, D · 2021
Earlier work this paper cites.
ediff-i: Text-to-image diffusion models with an ensemble of expert denoisers
Balaji, Y., Nah, S., Huang, X., Vahdat, A., Song, J., Kreis, K., Aittala, M., Aila, T., Laine, S., Catanzaro, B., Karras, T., and Liu, M · 2022
Earlier work this paper cites.
Classifier-free diffusion guidance
Ho, J. and Salimans, T · 2022
Earlier work this paper cites.
Elucidating the design space of diffusion-based generative models
Karras, T., Aittala, M., Aila, T., and Laine, S · 2022
Earlier work this paper cites.
Pseudo numerical methods for diffusion models on manifolds
Liu, L., Ren, Y., Lin, Z., and Zhao, Z · 2022
Earlier work this paper cites.
Dpm-solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps
Lu, C., Zhou, Y., Bao, F., Chen, J., Li, C., and Zhu, J · 2022
Cited alongside, same era.
Scalable diffusion models with transformers
Peebles, W. and Xie, S · 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.
Progressive distillation for fast sampling of diffusion models
Salimans, T. and Ho, J · 2022
Cited alongside, same era.
Diffusers: State-of-the-art diffusion models
von Platen, P., Patil, S., Lozhkov, A., Cuenca, P., Lambert, N., Rasul, K., Davaadorj, M., and Wolf, T · 2022
Cited alongside, same era.
Deep model reassembly
Yang, X., Zhou, D., Liu, S., Ye, J., and Wang, X · 2022
Deepcache: Accelerating diffusion models for free
Ma, X., Fang, G., and Wang, X · 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., Müller, J., Penna, J., and Rombach, R · 2023
Later among the works it cites.
Dreamfusion: Text-to-3d using 2d diffusion
Poole, B., Jain, A., Barron, J. T., and Mildenhall, B · 2023
Later among the works it cites.
Kandinsky: An improved text-to-image synthesis with image prior and latent diffusion
Razzhigaev, A., Shakhmatov, A., Maltseva, A., Arkhipkin, V., Pavlov, I., Ryabov, I., Kuts, A., Panchenko, A., Kuznetsov, A., and Dimitrov, D · 2023
Later among the works it cites.
Adversarial diffusion distillation
Sauer, A., Lorenz, D., Blattmann, A., and Rombach, R · 2023
Later among the works it cites.
Segmind Stable Diffusion Model (SSD-1B)
Segmind · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
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.
Token merging: Your vit but faster
Bolya, D., Fu, C., Dai, X., Zhang, P., Feichtenhofer, C., and Hoffman, J · 2023
Cited alongside, same era.
Structural pruning for diffusion models
Fang, G., Ma, X., and Wang, X · 2023
Cited alongside, same era.
Bk-sdm: Architecturally compressed stable diffusion for efficient text-to-image generation
Kim, B.-K., Song, H.-K., Castells, T., and Choi, S · 2023
Cited alongside, same era.
Streamdiffusion: A pipeline-level solution for real-time interactive generation
Kodaira, A., Xu, C., Hazama, T., Yoshimoto, T., Ohno, K., Mitsuhori, S., Sugano, S., Cho, H., Liu, Z., and Keutzer, K · 2023
Cited alongside, same era.
Multi-architecture multi-expert diffusion models
Lee, Y., Kim, J., Go, H., Jeong, M., Oh, S., and Choi, S · 2023
Cited alongside, same era.
Later among the works it cites.
Post-training quantization on diffusion models
Shang, Y., Yuan, Z., Xie, B., Wu, B., and Yan, Y · 2023
Later among the works it cites.
Parallel sampling of diffusion models
Shih, A., Belkhale, S., Ermon, S., Sadigh, D., and Anari, N · 2023
Later among the works it cites.
Consistency models
Song, Y., Dhariwal, P., Chen, M., and Sutskever, I · 2023
Later among the works it cites.
Cache me if you can: Accelerating diffusion models through block caching
Wimbauer, F., Wu, B., Schönfeld, E., Dai, X., Hou, J., He, Z., Sanakoyeu, A., Zhang, P., Tsai, S. S., Kohler, J., Rupprecht, C., Cremers, D., Vajda, P., and Wang, J · 2023
Later among the works it cites.
Diffusion probabilistic model made slim
Yang, X., Zhou, D., Feng, J., and Wang, X · 2023
Later among the works it cites.
Adding conditional control to text-to-image diffusion models
Zhang, L., Rao, A., and Agrawala, M · 2023
Later among the works it cites.
Mobilediffusion: Subsecond text-to-image generation on mobile devices
Zhao, Y., Xu, Y., Xiao, Z., and Hou, T · 2023
Later among the works it cites.
Fast sampling of diffusion models via operator learning
Zheng, H., Nie, W., Vahdat, A., Azizzadenesheli, K., and Anandkumar, A · 2023
Later among the works it cites.