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Fast constrained sampling in pre-trained diffusion models

24 October 2024

Papers citing "Fast constrained sampling in pre-trained diffusion models"

29 / 29 papers shown

Title
Manifold Preserving Guided DiffusionInternational Conference on Learning Representations (ICLR), 2023 Yutong He Naoki Murata Chieh-Hsin Lai Yuhta Takida Toshimitsu Uesaka ... Wei-Hsiang Liao Yuki Mitsufuji J. Zico Kolter Ruslan Salakhutdinov Stefano Ermon DiffM 270 114 0 28 Nov 2023
Prompt-tuning latent diffusion models for inverse problemsInternational Conference on Machine Learning (ICML), 2023 Hyungjin Chung Jong Chul Ye P. Milanfar M. Delbracio DiffM 253 60 0 02 Oct 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image SynthesisInternational Conference on Learning Representations (ICLR), 2023 Dustin Podell Zion English Kyle Lacey A. Blattmann Tim Dockhorn Jonas Muller Joe Penna Robin Rombach 711 3,607 0 04 Jul 2023
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023 Litu Rout Negin Raoof Giannis Daras Constantine Caramanis A. Dimakis Sanjay Shakkottai DiffM 304 140 0 02 Jul 2023
Emergent Correspondence from Image DiffusionNeural Information Processing Systems (NeurIPS), 2023 Luming Tang Menglin Jia Qianqian Wang Cheng Perng Phoo Bharath Hariharan 335 371 0 06 Jun 2023
Exploiting Diffusion Prior for Real-World Image Super-ResolutionInternational Journal of Computer Vision (IJCV), 2023 Jianyi Wang Zongsheng Yue Shangchen Zhou Kelvin C. K. Chan Chen Change Loy 544 471 0 11 May 2023
FreeDoM: Training-Free Energy-Guided Conditional Diffusion ModelIEEE International Conference on Computer Vision (ICCV), 2023 Jiwen Yu Yinhuai Wang Chen Zhao Guohao Li Jian Zhang DiffM 223 260 0 17 Mar 2023
Adding Conditional Control to Text-to-Image Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023 Lvmin Zhang Anyi Rao Maneesh Agrawala AI4CE 796 5,549 1 10 Feb 2023
Reproducible scaling laws for contrastive language-image learningComputer Vision and Pattern Recognition (CVPR), 2022 Mehdi Cherti Romain Beaumont Ross Wightman Mitchell Wortsman Gabriel Ilharco Cade Gordon Christoph Schuhmann Ludwig Schmidt J. Jitsev VLM CLIP 333 1,107 0 14 Dec 2022
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion ModelComputer Vision and Pattern Recognition (CVPR), 2022 Shaoan Xie Zhifei Zhang Zhe Lin Tobias Hinz Kun Zhang DiffM 205 307 0 09 Dec 2022
LAION-5B: An open large-scale dataset for training next generation image-text modelsNeural Information Processing Systems (NeurIPS), 2022 Christoph Schuhmann Romain Beaumont Richard Vencu Cade Gordon Ross Wightman ... Srivatsa Kundurthy Katherine Crowson Ludwig Schmidt R. Kaczmarczyk J. Jitsev VLM MLLM CLIP 540 4,401 0 16 Oct 2022
Diffusion Posterior Sampling for General Noisy Inverse ProblemsInternational Conference on Learning Representations (ICLR), 2022 Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 507 1,181 0 29 Sep 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 402 5,117 0 26 Jul 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Jiahui Yu Yuanzhong Xu Jing Yu Koh Thang Luong Gunjan Baid ... Zarana Parekh Xin Li Han Zhang Jason Baldridge Yonghui Wu EGVM 528 1,331 0 22 Jun 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingNeural Information Processing Systems (NeurIPS), 2022 Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 1.0K 7,306 0 23 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 767 8,126 0 13 Apr 2022
The Role of ImageNet Classes in Fréchet Inception DistanceInternational Conference on Learning Representations (ICLR), 2022 Tuomas Kynkaanniemi Tero Karras M. Aittala Timo Aila J. Lehtinen EGVM VLM 454 248 0 11 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021 Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer DiffM 1.2K 20,333 0 20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion ModelsInternational Conference on Machine Learning (ICML), 2021 Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 836 4,276 0 20 Dec 2021
Palette: Image-to-Image Diffusion ModelsInternational Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2021 Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 922 1,944 0 10 Nov 2021
Diffusion Models Beat GANs on Image SynthesisNeural Information Processing Systems (NeurIPS), 2021 Prafulla Dhariwal Alex Nichol 1.2K 10,009 0 11 May 2021
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021 Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.9K 39,712 0 26 Feb 2021
Improved Denoising Diffusion Probabilistic ModelsInternational Conference on Machine Learning (ICML), 2021 Alex Nichol Prafulla Dhariwal DiffM 544 4,581 0 18 Feb 2021
Score-Based Generative Modeling through Stochastic Differential EquationsInternational Conference on Learning Representations (ICLR), 2020 Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 998 8,511 0 26 Nov 2020
Denoising Diffusion Implicit ModelsInternational Conference on Learning Representations (ICLR), 2020 Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 1.1K 9,859 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 3.9K 24,679 0 19 Jun 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 1.4K 11,919 0 12 Dec 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 959 14,846 0 11 Jan 2018
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 1.2K 8,591 0 12 Mar 2015

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Fast constrained sampling in pre-trained diffusion models

Papers citing "Fast constrained sampling in pre-trained diffusion models"