Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models

19 October 2023

Papers citing "Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models"

20 / 20 papers shown

Title
DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows Mashrur M. Morshed Vishnu Boddeti 33 0 0 10 Apr 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation Zhiyuan Liu Yanchen Luo Han Huang Enzhi Zhang Sihang Li Junfeng Fang Yaorui Shi X. Wang Kenji Kawaguchi Tat-Seng Chua 100 3 0 18 Feb 2025
Motion Modes: What Could Happen Next? Karran Pandey Matheus Gadelha Yannick Hold-Geoffroy Karan Singh Niloy J. Mitra Paul Guerrero VGen DiffM 77 2 0 29 Nov 2024
Sparse Repellency for Shielded Generation in Text-to-image Diffusion Models Michael Kirchhof James Thornton Pierre Ablin Louis Béthune Eugène Ndiaye Marco Cuturi 36 2 0 08 Oct 2024
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering K. K. Bernhard Schölkopf Michael Muehlebach 24 0 0 02 Oct 2024
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation Jack Lu Ryan Teehan Mengye Ren DiffM 27 3 0 05 Aug 2024
Consistency-diversity-realism Pareto fronts of conditional image generative models Pietro Astolfi Marlene Careil Melissa Hall Oscar Manas Matthew Muckley Jakob Verbeek Adriana Romero Soriano M. Drozdzal 45 10 0 14 Jun 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 42 2 0 27 May 2024
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models Katherine Xu Lingzhi Zhang Jianbo Shi 41 12 0 23 May 2024
CoCoG: Controllable Visual Stimuli Generation based on Human Concept Representations Chen Wei Jiachen Zou Dietmar Heinke Quanying Liu 35 3 0 25 Apr 2024
Particle Denoising Diffusion Sampler Angus Phillips Hai-Dang Dau M. Hutchinson Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 54 25 0 09 Feb 2024
Correcting Diffusion Generation through Resampling Yujian Liu Yang Zhang Tommi Jaakkola Shiyu Chang 31 6 0 10 Dec 2023
From Denoising Diffusions to Denoising Markov Models Joe Benton Yuyang Shi Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 66 25 0 07 Nov 2022
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola DiffM 130 408 0 04 Oct 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 123 246 0 22 Sep 2022
Poisson Flow Generative Models Yilun Xu Ziming Liu M. Tegmark Tommi Jaakkola 85 80 0 22 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 37 206 0 06 Sep 2022
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 217 164 0 06 Feb 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 303 5,773 0 29 Apr 2021
Determinantal point processes for machine learning Alex Kulesza B. Taskar 160 1,122 0 25 Jul 2012