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Training-Free Constrained Generation With Stable Diffusion Models

8 February 2025

Papers citing "Training-Free Constrained Generation With Stable Diffusion Models"

42 / 42 papers shown

Title
Guiding Diffusion with Deep Geometric Moments: Balancing Fidelity and Variation Sangmin Jung Utkarsh Nath Yezhou Yang Giulia Pedrielli Joydeep Biswas Amy Zhang Hassan Ghasemzadeh Pavan Turaga DiffM 124 0 0 18 May 2025
CLAD: Constrained Latent Action Diffusion for Vision-Language Procedure Planning Lei Shi Andreas Bulling DiffM 91 2 0 09 Mar 2025
Constrained Diffusion with Trust Sampling William Huang Yifeng Jiang Tom Van Wouwe Chenxi Liu 71 4 0 17 Nov 2024
Diffusion State-Guided Projected Gradient for Inverse Problems Rayhan Zirvi Bahareh Tolooshams Anima Anandkumar DiffM 174 4 0 04 Oct 2024
TFG: Unified Training-Free Guidance for Diffusion Models Haotian Ye Haowei Lin Jiaqi Han Minkai Xu Sheng Liu Yitao Liang Jianzhu Ma James Zou Stefano Ermon 61 28 0 24 Sep 2024
FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition Sicheng Mo Fangzhou Mu Kuan Heng Lin Yanli Liu Bochen Guan Yin Li Bolei Zhou DiffM 97 67 0 12 Dec 2023
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models Jiayi Guo Xingqian Xu Yifan Pu Zanlin Ni Chaofei Wang Manushree Vasu Shiji Song Gao Huang Humphrey Shi DiffM 69 32 0 07 Dec 2023
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models Tsun-Hsuan Wang Juntian Zheng Pingchuan Ma Yilun Du Byungchul Kim Andrew Spielberg Josh Tenenbaum Chuang Gan Daniela Rus AI4CE 76 26 0 28 Nov 2023
Manifold Preserving Guided Diffusion Yutong He Naoki Murata Chieh-Hsin Lai Yuhta Takida Toshimitsu Uesaka ... Wei-Hsiang Liao Yuki Mitsufuji J. Zico Kolter Ruslan Salakhutdinov Stefano Ermon DiffM 167 81 0 28 Nov 2023
Mirror Diffusion Models for Constrained and Watermarked Generation Guan-Horng Liu T. Chen Evangelos A. Theodorou Molei Tao DiffM 76 23 0 02 Oct 2023
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models João Carvalho An T. Le Mark Baierl Dorothea Koert Jan Peters DiffM 82 115 0 03 Aug 2023
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities Jayanta Mandi James Kotary Senne Berden Maxime Mulamba Víctor Bucarey Tias Guns Ferdinando Fioretto AI4CE 86 70 0 25 Jul 2023
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency Bowen Song Soo Min Kwon Zecheng Zhang Xinyu Hu Qing Qu Liyue Shen MedIm 128 122 0 16 Jul 2023
Metropolis Sampling for Constrained Diffusion Models N. Fishman Leo Klarner Emile Mathieu M. Hutchinson Valentin De Bortoli DiffM 62 17 0 11 Jul 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis Dustin Podell Zion English Kyle Lacey A. Blattmann Tim Dockhorn Jonas Muller Joe Penna Robin Rombach 264 2,450 0 04 Jul 2023
On the Constrained Time-Series Generation Problem Andrea Coletta Sriram Gopalakrishnan Daniel Borrajo Svitlana Vyetrenko DiffM AI4TS 76 39 0 04 Jul 2023
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models Litu Rout Negin Raoof Giannis Daras Constantine Caramanis A. Dimakis Sanjay Shakkottai DiffM 109 108 0 02 Jul 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation Giorgio Giannone Akash Srivastava Ole Winther Faez Ahmed DiffM AI4CE 72 35 0 29 May 2023
Diffusion Models for Constrained Domains N. Fishman Leo Klarner Valentin De Bortoli Emile Mathieu M. Hutchinson DiffM 86 39 0 11 Apr 2023
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model Jiwen Yu Yinhuai Wang Chen Zhao Guohao Li Jian Zhang DiffM 81 190 0 17 Mar 2023
Universal Guidance for Diffusion Models Arpit Bansal Hong-Min Chu Avi Schwarzschild Soumyadip Sengupta Micah Goldblum Jonas Geiping Tom Goldstein VLM 104 274 0 14 Feb 2023
PhysDiff: Physics-Guided Human Motion Diffusion Model Ye Yuan Jiaming Song Umar Iqbal Arash Vahdat Jan Kautz VGen DiffM 127 257 0 05 Dec 2022
Guided Conditional Diffusion for Controllable Traffic Simulation Ziyuan Zhong Davis Rempe Danfei Xu Yuxiao Chen Sushant Veer Tong Che Baishakhi Ray Marco Pavone 78 157 0 31 Oct 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 114 862 0 29 Sep 2022
Diffusion Models Beat GANs on Topology Optimization Franccois Mazé Faez Ahmed DiffM AI4CE 82 68 0 20 Aug 2022
High-Frequency Space Diffusion Models for Accelerated MRI Chentao Cao Zhuoxu Cui Yue Wang Shaonan Liu Taijin Chen Hairong Zheng Dong Liang Yanjie Zhu DiffM MedIm 101 53 0 10 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 196 3,971 0 26 Jul 2022
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models N. Anand Tudor Achim DiffM 250 175 0 26 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 320 702 0 20 May 2022
Equivariant Diffusion for Molecule Generation in 3D Emiel Hoogeboom Victor Garcia Satorras Clément Vignac Max Welling DiffM 133 623 0 31 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 508 15,788 0 20 Dec 2021
Score-based diffusion models for accelerated MRI Hyungjin Chung Jong Chul Ye DiffM MedIm 122 427 0 08 Oct 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 306 7,958 0 11 May 2021
DC3: A learning method for optimization with hard constraints P. Donti David Rolnick J. Zico Kolter AI4CE 84 196 0 25 Apr 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 385 6,592 0 26 Nov 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 759 18,408 0 19 Jun 2020
Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials Sehyun Chun S. Roy Y. Nguyen Joseph B. Choi H. Udaykumar Stephen Seung-Yeob Baek AI4CE 46 99 0 05 Apr 2020
Lagrangian Duality for Constrained Deep Learning Ferdinando Fioretto Pascal Van Hentenryck Terrence W.K. Mak Cuong Tran Federico Baldo M. Lombardi PINN 47 83 0 26 Jan 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,961 0 12 Jul 2019
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models Jesse Engel Matthew Hoffman Adam Roberts DRL 93 140 0 15 Nov 2017
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization Pan Xu Jinghui Chen Difan Zou Quanquan Gu 90 205 0 20 Jul 2017
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 312 7,035 0 12 Mar 2015