FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model

17 March 2023

Jian Zhang

Papers citing "FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model"

50 / 122 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 P. Turaga DiffM 2 0 0 18 May 2025
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts Hongkun Dou Zeyu Li Xingyu Jiang Yiming Li Lijun Yang Wen Yao Yue Deng DiffM 38 0 0 12 May 2025
Incorporating Inductive Biases to Energy-based Generative Models Yukun Li Li-Ping Liu 55 0 0 02 May 2025
Text-to-Image Alignment in Denoising-Based Models through Step Selection P. Grimal Hervé Le Borgne Olivier Ferret DiffM EGVM 48 0 0 24 Apr 2025
Emergence and Evolution of Interpretable Concepts in Diffusion Models Berk Tinaz Zalan Fabian Mahdi Soltanolkotabi DiffM 23 0 0 21 Apr 2025
Geometric Consistency Refinement for Single Image Novel View Synthesis via Test-Time Adaptation of Diffusion Models Josef Bengtson David Nilsson Fredrik Kahl DiffM 37 0 0 11 Apr 2025
LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping Pascal Chang Sergio Sancho Jingwei Tang Markus Gross Vinicius Azevedo 33 0 0 11 Apr 2025
From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes Long Ma Zhiyuan Yan Yize Chen Jin Xu Qinglang Guo Hu Huang Yong Liao Hui Lin CVBM 43 0 0 07 Apr 2025
Training-free Dense-Aligned Diffusion Guidance for Modular Conditional Image Synthesis Zixuan Wang Duo Peng Feng Chen Yuqing Yang Yinjie Lei DiffM 79 0 0 02 Apr 2025
Enhancing Creative Generation on Stable Diffusion-based Models Jiyeon Han Dahee Kwon Gayoung Lee Junho Kim Jaesik Choi DiffM 44 1 0 30 Mar 2025
Semantix: An Energy Guided Sampler for Semantic Style Transfer Huiang He Minghui Hu C. Zheng Chaoyue Wang Tat-Jen Cham DiffM 48 0 0 28 Mar 2025
ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation Yunhong Min Daehyeon Choi Kyeongmin Yeo Jihyun Lee Minhyuk Sung 51 0 0 28 Mar 2025
Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing Jaihoon Kim Taehoon Yoon Jisung Hwang Minhyuk Sung DiffM 54 1 0 25 Mar 2025
Color Conditional Generation with Sliced Wasserstein Guidance Alexander Lobashev Maria Larchenko Dmitry Guskov DiffM 48 0 0 24 Mar 2025
TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision Shaobin Zhuang Yiwei Guo Yanbo Ding Kunchang Li Xinyuan Chen Yaohui Wang Fangyikang Wang Ying Zhang Chen Li Yijiao Wang 45 0 0 10 Mar 2025
Color Alignment in Diffusion Ka Chun Shum Binh-Son Hua Duc Thanh Nguyen Sai-Kit Yeung 65 0 0 09 Mar 2025
Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs Yingji Zhong Zhihao Li Dave Zhenyu Chen Lanqing Hong Dan Xu DiffM 3DGS VGen 63 0 0 07 Mar 2025
RA-DP: Rapid Adaptive Diffusion Policy for Training-Free High-frequency Robotics Replanning Xi Ye Rui Heng Yang Jun Jin Y. K. Li Amir Rasouli 53 0 0 06 Mar 2025
Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models Rui Jiang Xinghe Fu Guangcong Zheng Teng Li Taiping Yao Xi Li DiffM 70 0 0 06 Mar 2025
Can Diffusion Models Provide Rigorous Uncertainty Quantification for Bayesian Inverse Problems? Evan Scope Crafts Umberto Villa 44 0 0 04 Mar 2025
Dynamic Search for Inference-Time Alignment in Diffusion Models Xiner Li Masatoshi Uehara Xingyu Su Gabriele Scalia Tommaso Biancalani Aviv Regev Sergey Levine Shuiwang Ji 47 0 0 03 Mar 2025
FreeBlend: Advancing Concept Blending with Staged Feedback-Driven Interpolation Diffusion Yufan Zhou Haoyu Shen Huan Wang DiffM 113 0 0 17 Feb 2025
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling Haoyu Lei Kaiwen Zhou Yunshui Li Zhitang Chen Farzan Farnia DiffM 70 1 0 15 Feb 2025
Training-Free Constrained Generation With Stable Diffusion Models Stefano Zampini Jacob K Christopher Luca Oneto Davide Anguita Ferdinando Fioretto 46 1 0 08 Feb 2025
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior Tongda Xu Xiyan Cai Xuzhi Zhang Xingtong Ge Dailan He Ming Sun Jingjing Liu Y. Zhang Jian Li Yan Wang DiffM 120 3 0 31 Jan 2025
Improving Video Generation with Human Feedback Jie Liu Gongye Liu Jiajun Liang Ziyang Yuan Xiaokun Liu ... Pengfei Wan Di Zhang Kun Gai Yujiu Yang Wanli Ouyang VGen EGVM 64 13 0 23 Jan 2025
Dynamic Negative Guidance of Diffusion Models Felix Koulischer Johannes Deleu G. Raya T. Demeester L. Ambrogioni DiffM 51 2 0 03 Jan 2025
ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving Jiehui Huang Xiao Dong Wenhui Song Zheng Chong Zhiqiang Zhang ... Long Chen Hanhui Li Yiqiang Yan Shengcai Liao Xiaodan Liang DiffM 50 19 0 31 Dec 2024
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling Xin Xie Dong Gong 82 1 0 01 Dec 2024
Random Sampling for Diffusion-based Adversarial Purification Jiancheng Zhang Peiran Dong Yongyong Chen Yin-Ping Zhao Song Guo DiffM 71 1 0 28 Nov 2024
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Maitreya Patel Song Wen Dimitris N. Metaxas Yezhou Yang DiffM 116 4 0 27 Nov 2024
Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Concepts J. Chang Hyungjin Chung Jong Chul Ye FaML DiffM 100 0 0 26 Nov 2024
Decoupling Training-Free Guided Diffusion by ADMM Youyuan Zhang Zehua Liu Zenan Li Zhaoyu Li James J. Clark X. Si 80 0 0 18 Nov 2024
D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification Minhee Jang Juheon Son Thanaporn Viriyasaranon Junho Kim Jang-Hwan Choi MedIm 34 0 0 17 Nov 2024
Constrained Diffusion with Trust Sampling William Huang Yifeng Jiang Tom Van Wouwe Chenxi Liu 37 3 0 17 Nov 2024
Test-time Conditional Text-to-Image Synthesis Using Diffusion Models Tripti Shukla Srikrishna Karanam Balaji Vasan Srinivasan DiffM 36 0 0 16 Nov 2024
Unraveling the Connections between Flow Matching and Diffusion Probabilistic Models in Training-free Conditional Generation Kaiyu Song Hanjiang Lai DiffM 26 1 0 12 Nov 2024
Gradient-Guided Conditional Diffusion Models for Private Image Reconstruction: Analyzing Adversarial Impacts of Differential Privacy and Denoising Tao Huang Jiayang Meng Hong Chen Guolong Zheng Xu Yang Xun Yi Hua Wang DiffM 39 2 0 05 Nov 2024
Fast constrained sampling in pre-trained diffusion models Alexandros Graikos Nebojsa Jojic Dimitris Samaras DiffM 30 1 0 24 Oct 2024
FedBaF: Federated Learning Aggregation Biased by a Foundation Model Jong-Ik Park Srinivasa Pranav J. M. F. Moura Carlee Joe-Wong AI4CE 79 2 0 24 Oct 2024
Group Diffusion Transformers are Unsupervised Multitask Learners Lianghua Huang Wei Wang Zhi-Fan Wu Huanzhang Dou Yupeng Shi Yutong Feng C. Liang Yu Liu Jingren Zhou VLM 49 11 0 19 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations Satoshi Hayakawa Yuhta Takida Masaaki Imaizumi Hiromi Wakaki Yuki Mitsufuji DiffM 61 1 0 11 Oct 2024
G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving Naoki Murata Chieh-Hsin Lai Yuhta Takida Toshimitsu Uesaka Bac Nguyen Stefano Ermon Yuki Mitsufuji DiffM 65 1 0 09 Oct 2024
AP-LDM: Attentive and Progressive Latent Diffusion Model for Training-Free High-Resolution Image Generation Boyuan Cao Jiaxin Ye Yujie Wei Hongming Shan 39 3 0 08 Oct 2024
Conditional Image Synthesis with Diffusion Models: A Survey Zheyuan Zhan Defang Chen Jian-Ping Mei Zhenghe Zhao Jiawei Chen Chun Chen Siwei Lyu Can Wang VLM 45 5 0 28 Sep 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 39 14 0 24 Sep 2024
Enhancing Privacy in ControlNet and Stable Diffusion via Split Learning Dixi Yao 34 0 0 13 Sep 2024
Training-Free Guidance for Discrete Diffusion Models for Molecular Generation Thomas J. Kerby Kevin R. Moon 32 2 0 11 Sep 2024
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative Refinement Jia-Wei Liao Winston Wang Tzu-Sian Wang Li-Xuan Peng Ju-Hsuan Weng Cheng-Fu Chou Jun-Cheng Chen DiffM 51 1 0 10 Sep 2024
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding Xiner Li Yulai Zhao Chenyu Wang Gabriele Scalia Gökçen Eraslan Surag Nair Tommaso Biancalani Aviv Regev Sergey Levine Masatoshi Uehara 57 23 0 15 Aug 2024