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Generative Modelling With Inverse Heat Dissipation

International Conference on Learning Representations (ICLR), 2022

21 June 2022

Arno Solin

Papers citing "Generative Modelling With Inverse Heat Dissipation"

50 / 113 papers shown

Title
Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2025 Hao-Chien Hsueh Chi-En Yen Wen-Hsiao Peng Ching-Chun Huang DiffM 104 2 0 21 Nov 2025
Functional Adjoint Sampler: Scalable Sampling on Infinite Dimensional Spaces Byoungwoo Park Juho Lee Guan-Horng Liu 136 0 0 09 Nov 2025
MoE-DP: An MoE-Enhanced Diffusion Policy for Robust Long-Horizon Robotic Manipulation with Skill Decomposition and Failure Recovery Baiye Cheng Tianhai Liang Suning Huang Maanping Shao Feihong Zhang Botian Xu Zhengrong Xue Huazhe Xu 231 0 0 07 Nov 2025
BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing J. Kim Yunhun Nam Minseon Kim Sangpil Kim Jongheon Jeong AAML DiffM 201 0 0 31 Oct 2025
Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction Xu Zhang Ruijie Quan Wenguan Wang Yi Yang DiffM 92 0 0 25 Oct 2025
DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion Noam Issachar Guy Yariv Sagie Benaim Yossi Adi Dani Lischinski Raanan Fattal 120 1 0 23 Oct 2025
Thermodynamic Performance Limits for Score-Based Diffusion Models Nathan X. Kodama Michael Hinczewski DiffM 76 0 0 07 Oct 2025
Learning What Matters: Steering Diffusion via Spectrally Anisotropic Forward Noise Luca Scimeca Thomas Jiralerspong Berton Earnshaw Jason Hartford Yoshua Bengio DiffM 267 0 0 07 Oct 2025
Graph-Aware Diffusion for Signal Generation Sergio Rozada Vimal K. B. Andrea Cavallo A. Marques Hadi Jamali-Rad Elvin Isufi DiffM 97 0 0 06 Oct 2025
Dale meets Langevin: A Multiplicative Denoising Diffusion Model Nishanth Shetty Madhava Prasath C. Seelamantula DiffM 177 0 0 03 Oct 2025
Discrete-Time Diffusion-Like Models for Speech Synthesis Xiaozhou Tan Minghui Zhao Mattias Cross DiffM 130 0 0 22 Sep 2025
Kuramoto Orientation Diffusion Models Yue Song Thomas Anderson Keller Sevan Brodjian Takeru Miyato Yisong Yue Pietro Perona Max Welling DiffM 160 0 0 18 Sep 2025
Scale-Adaptive Generative Flows for Multiscale Scientific Data Yifan Chen Eric Vanden-Eijnden 124 0 0 03 Sep 2025
SAGA: Learning Signal-Aligned Distributions for Improved Text-to-Image Generation P. Grimal Michael Soumm Hervé Le Borgne Olivier Ferret Akihiro Sugimoto DiffM 153 0 0 19 Aug 2025
Beyond Blur: A Fluid Perspective on Generative Diffusion Models Grzegorz Gruszczynski Michal Jan Wlodarczyk Michal Jan Wlodarczyk Przemyslaw Musialski DiffM 156 0 0 20 Jun 2025
Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation Bowen Zheng Tianming Yang VLM 251 3 0 11 Jun 2025
A Review on Score-based Generative Models for Audio Applications Ge Zhu Yutong Wen Zhiyao Duan DiffM MedIm 202 3 0 10 Jun 2025
Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation Alexander Shabalin Viacheslav Meshchaninov Dmitry Vetrov 162 2 0 24 May 2025
A Fourier Space Perspective on Diffusion Models Fabian Falck Teodora Pandeva Kiarash Zahirnia Rachel Lawrence Richard Turner Edward Meeds Javier Zazo Sushrut Karmalkar DiffM MedIm 244 12 0 16 May 2025
H $^3$ DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning Yiyang Lu Yufeng Tian Zhecheng Yuan Xinyu Wang Pu Hua Zhengrong Xue Huazhe Xu 341 4 0 12 May 2025
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Javier E. Santos Agnese Marcato Roman Colman Nicholas Lubbers Yen Ting Lin 392 1 0 03 May 2025
Text-to-Image Alignment in Denoising-Based Models through Step Selection P. Grimal Hervé Le Borgne Olivier Ferret DiffM EGVM 253 0 0 24 Apr 2025
I-INR: Iterative Implicit Neural Representations Ali Haider Muhammad Salman Ali Maryam Qamar Tahir Khalil Soo Ye Kim Jihyong Oh Enzo Tartaglione Sung-Ho Bae 327 0 0 24 Apr 2025
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching Junn Yong Loo Michelle Adeline Julia Kaiwen Lau Fang Yu Leong Hwa Hui Tew Arghya Pal Vishnu Monn Baskaran Chee-Ming Ting Raphaël C.-W. Phan BDL 267 1 0 22 Apr 2025
Autoregressive Distillation of Diffusion TransformersComputer Vision and Pattern Recognition (CVPR), 2025 Yeongmin Kim Sotiris Anagnostidis Yuming Du Edgar Schönfeld Jonas Kohler Markos Georgopoulos Albert Pumarola Ali K. Thabet A. Sanakoyeu 281 2 0 15 Apr 2025
On Equivariance and Fast Sampling in Video Diffusion Models Trained with Warped Noise Chao Liu Arash Vahdat DiffM VGen 322 5 0 14 Apr 2025
Personalized Federated Training of Diffusion Models with Privacy Guarantees Kumar Kshitij Patel Weitong Zhang Lingxiao Wang MedIm 281 1 0 01 Apr 2025
GIViC: Generative Implicit Video Compression Ge Gao Siyue Teng Tianhao Peng Fan Zhang David Bull DiffM VGen 311 6 0 25 Mar 2025
Scale-wise Distillation of Diffusion Models Nikita Starodubcev Denis Kuznedelev Artem Babenko Dmitry Baranchuk DiffM 271 3 0 20 Mar 2025
Harnessing Frequency Spectrum Insights for Image Copyright Protection Against Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2025 Zhenguang Liu Chao Shuai Shaojing Fan Ziping Dong Jinwu Hu Zhongjie Ba Kui Ren WIGM 334 1 0 14 Mar 2025
"Principal Components" Enable A New Language of Images Xin Wen Bingchen Zhao Ismail Elezi Jiankang Deng Xiaojuan Qi 322 1 0 11 Mar 2025
Spectral Analysis of Diffusion Models with Application to Schedule Design Roi Benita Michael Elad Joseph Keshet DiffM 379 0 0 31 Jan 2025
Generative diffusion model with inverse renormalization group flows Kanta Masuki Yuto Ashida DiffM 252 4 0 17 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based ModelsNeural Information Processing Systems (NeurIPS), 2024 Daniela de Albuquerque John Pearson DiffM 408 1 0 03 Jan 2025
S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral DomainWeb Search and Data Mining (WSDM), 2024 Rui Xia Yanhua Cheng Yongxiang Tang Xiaocheng Liu Xialong Liu Lisong Wang Peng Jiang DiffM 350 7 0 03 Jan 2025
Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis Anton Voronov Denis Kuznedelev Mikhail Khoroshikh Valentin Khrulkov Dmitry Baranchuk 560 18 0 02 Dec 2024
Frequency-Guided Posterior Sampling for Diffusion-Based Image Restoration D. Thaker Abhishek Goyal René Vidal DiffM 259 1 0 22 Nov 2024
Point Cloud Resampling with Learnable Heat DiffusionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Wenqiang Xu Wenrui Dai Duoduo Xue Ziyang Zheng Chenglin Li Junni Zou Hongkai Xiong 220 2 0 21 Nov 2024
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer GenerationNeural Information Processing Systems (NeurIPS), 2024 Jiwoong Park Yang Shen DiffM 241 3 0 26 Oct 2024
Your Image is Secretly the Last Frame of a Pseudo Video Wenlong Chen Wenlin Chen Lapo Rastrelli Yingzhen Li DiffM VGen 352 0 0 26 Oct 2024
FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded SamplingInternational Conference on Learning Representations (ICLR), 2024 Zhengqiang Zhang Ruihuang Li Lei Zhang 341 7 0 24 Oct 2024
Probing the Latent Hierarchical Structure of Data via Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024 Antonio Sclocchi Alessandro Favero Noam Itzhak Levi Matthieu Wyart DiffM 351 10 0 17 Oct 2024
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-ResolutionNeural Information Processing Systems (NeurIPS), 2024 Qi Tang Yao Zhao Meiqin Liu Chao Yao VGen DiffM 219 3 0 08 Oct 2024
GUD: Generation with Unified Diffusion Mathis Gerdes Max Welling Miranda C. N. Cheng DiffM 166 3 0 03 Oct 2024
Edge-preserving noise for diffusion models Jente Vandersanden Sascha Holl Xingchang Huang Gurprit Singh DiffM 369 8 0 02 Oct 2024
$$\infty$-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions$ $\infty$ -Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions Minh-Quan Le Alexandros Graikos Srikar Yellapragada Rajarsi R. Gupta Joel H. Saltz Dimitris Samaras 202 12 0 20 Jul 2024
Unmasking Trees for Tabular Data Calvin McCarter 384 4 0 08 Jul 2024
Variational Flow Matching for Graph GenerationNeural Information Processing Systems (NeurIPS), 2024 Floor Eijkelboom Grigory Bartosh C. A. Naesseth Max Welling Jan-Willem van de Meent 406 35 0 07 Jun 2024
Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen Ba-Hien Tran Michael Kampffmeyer Maurizio Filippone 496 2 0 03 Jun 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces Byoungwoo Park Jungwon Choi Sungbin Lim Juho Lee 481 8 0 31 May 2024