D-Flow: Differentiating through Flows for Controlled Generation

21 February 2024

Papers citing "D-Flow: Differentiating through Flows for Controlled Generation"

20 / 20 papers shown

Title
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling Michal Balcerak Tamaz Amiranashvili Suprosanna Shit Antonio Terpin Sebastian Kaltenbach P. Koumoutsakos Bjoern H. Menze DiffM 20 0 0 14 Apr 2025
ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation Yunhong Min Daehyeon Choi Kyeongmin Yeo Jihyun Lee Minhyuk Sung 49 0 0 28 Mar 2025
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Maitreya Patel Song Wen Dimitris N. Metaxas Yezhou Yang DiffM 105 3 0 27 Nov 2024
Training Free Guided Flow Matching with Optimal Control Luran Wang Chaoran Cheng Yizhen Liao Yanru Qu Ge Liu 31 1 0 23 Oct 2024
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs Severi Rissanen Markus Heinonen Arno Solin DiffM 37 0 0 15 Oct 2024
AFlow: Automating Agentic Workflow Generation Jiayi Zhang Jinyu Xiang Zhaoyang Yu Fengwei Teng Xionghui Chen ... Jinlin Wang Bingnan Zheng Bang Liu Yuyu Luo Chenglin Wu AIFin AI4CE 18 29 0 14 Oct 2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting Marcel Kollovieh Marten Lienen David Ludke Leo Schwinn Stephan Günnemann AI4TS BDL DiffM 32 3 0 03 Oct 2024
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Martin Anne Gagneux Paul Hagemann Gabriele Steidl 36 9 0 03 Oct 2024
Posterior sampling via Langevin dynamics based on generative priors Vishal Purohit Matthew Repasky Jianfeng Lu Qiang Qiu Yao Xie Xiuyuan Cheng DiffM 18 1 0 02 Oct 2024
Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization Zipeng Qi Lichen Bai Haoyi Xiong Zeke Xie DiffM 33 17 0 19 Jul 2024
Diffusion Models and Representation Learning: A Survey Michael Fuest Pingchuan Ma Ming Gui Johannes S. Fischer Vincent Tao Hu Bjorn Ommer DiffM 24 19 0 30 Jun 2024
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization L. Eyring Shyamgopal Karthik Karsten Roth Alexey Dosovitskiy Zeynep Akata 68 16 0 06 Jun 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 64 6 0 29 May 2024
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance Zhicheng Sun Zhenhao Yang Yang Jin Haozhe Chi Kun Xu ... Hao Jiang Di Zhang Yang Song Kun Gai Yadong Mu 21 3 0 23 May 2024
Gradient Guidance for Diffusion Models: An Optimization Perspective Yingqing Guo Hui Yuan Yukang Yang Minshuo Chen Mengdi Wang 18 20 0 23 Apr 2024
Tweedie Moment Projected Diffusions For Inverse Problems Benjamin Boys M. Girolami Jakiw Pidstrigach Sebastian Reich Alan Mosca O. Deniz Akyildiz MedIm 18 25 0 10 Oct 2023
Generating images of rare concepts using pre-trained diffusion models Dvir Samuel Rami Ben-Ari Simon Raviv N. Darshan Gal Chechik 126 38 0 27 Apr 2023
End-to-End Diffusion Latent Optimization Improves Classifier Guidance Bram Wallace Akash Gokul Stefano Ermon Nikhil Naik 113 53 0 23 Mar 2023
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 204 770 0 27 Jan 2022
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 56 33 0 18 Mar 2020