D-Flow: Differentiating through Flows for Controlled Generation

21 February 2024

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

21 / 21 papers shown

Title
Minimum-Excess-Work Guidance Christopher Kolloff Tobias Höppe Emmanouil Angelis Mathias Jacob Schreiner Stefan Bauer Andrea Dittadi Simon Olsson OT 56 0 0 19 May 2025
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling Michal Balcerak Tamaz Amiranashvili Suprosanna Shit Antonio Terpin Lea Bogensperger Sebastian Kaltenbach Petros Koumoutsakos Bjoern Menze DiffM 93 2 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 74 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 88 3 0 25 Mar 2025
Fast and Robust Visuomotor Riemannian Flow Matching Policy Haoran Ding Noémie Jaquier Jan Peters Leonel Rozo 121 3 0 14 Dec 2024
Training Free Guided Flow Matching with Optimal Control Luran Wang Chaoran Cheng Yizhen Liao Yanru Qu Ge Liu 52 2 0 23 Oct 2024
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs Severi Rissanen Markus Heinonen Arno Solin DiffM 316 1 0 15 Oct 2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting Marcel Kollovieh Marten Lienen David Lüdke Leo Schwinn Stephan Günnemann AI4TS BDL DiffM 67 7 0 03 Oct 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 98 8 0 29 May 2024
Equivariant Flow Matching with Hybrid Probability Transport Yuxuan Song Jingjing Gong Minkai Xu Ziyao Cao Yanyan Lan Stefano Ermon Hao Zhou Wei-Ying Ma DiffM 50 51 0 12 Dec 2023
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model Yinhuai Wang Jiwen Yu Jian Zhang DiffM 60 437 0 01 Dec 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 75 3,786 0 26 Jul 2022
Improving Diffusion Models for Inverse Problems using Manifold Constraints Hyungjin Chung Byeongsu Sim Dohoon Ryu J. C. Ye DiffM MedIm 67 444 0 02 Jun 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 245 809 0 27 Jan 2022
Generative Flows as a General Purpose Solution for Inverse Problems J. Chávez AI4CE 24 1 0 25 Oct 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 262 6,293 0 26 Nov 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 80 37 0 18 Mar 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 154 3,803 0 12 Jul 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 55 861 0 02 Oct 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 225 5,024 0 19 Jun 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 259 11,610 0 11 Jan 2018