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Variational Diffusion Models

1 July 2021

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Papers citing "Variational Diffusion Models"

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Title
Generative Dataset Distillation using Min-Max Diffusion Model Junqiao Fan Yunjiao Zhou Min Chang Jordan Ren Jianfei Yang DiffM 262 0 0 24 Mar 2025
HyperLoRA: Parameter-Efficient Adaptive Generation for Portrait SynthesisComputer Vision and Pattern Recognition (CVPR), 2025 Mengtian Li Jinshu Chen Wanquan Feng Bingchuan Li Fei Dai Mingcong Liu Qian He 3DH 210 3 0 21 Mar 2025
Temporal Score Analysis for Understanding and Correcting Diffusion ArtifactsComputer Vision and Pattern Recognition (CVPR), 2025 Yu Cao Zengqun Zhao Ioannis Patras Shaogang Gong DiffM 255 1 0 20 Mar 2025
Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling Yanchen Luo Zhiyuan Liu Yi Zhao Changhao Nai Kenji Kawaguchi Tat-Seng Chua Xiang Wang Yang Zhang Xiang Wang MedIm 410 0 0 19 Mar 2025
Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation Jiawei Zhang Ziyuan Liu Leon Yan Gen Li Yuantao Gu 516 2 0 13 Mar 2025
Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective Xiaoming Zhao Alexander Schwing FaML 318 1 0 13 Mar 2025
Probability-Flow ODE in Infinite-Dimensional Function Spaces Kunwoo Na Junghyun Lee Se-Young Yun Sungbin Lim 240 1 0 13 Mar 2025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language ModelsInternational Conference on Learning Representations (ICLR), 2025 Marianne Arriola Aaron Gokaslan Justin T Chiu Zhihan Yang Zhixuan Qi Jiaqi Han Subham Sekhar Sahoo Volodymyr Kuleshov DiffM 552 132 0 12 Mar 2025
ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning S. Banerjee Vinay Kumar Verma SSL 278 0 0 10 Mar 2025
SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models Ouxiang Li Yuan Wang Xinting Hu Houcheng Jiang Tao Liang Y. Hao Guojun Ma Fuli Feng DiffM 338 13 0 10 Mar 2025
VidBot: Learning Generalizable 3D Actions from In-the-Wild 2D Human Videos for Zero-Shot Robotic ManipulationComputer Vision and Pattern Recognition (CVPR), 2025 Hanzhi Chen Boyang Sun Anran Zhang Marc Pollefeys Stefan Leutenegger LM&Ro 388 28 0 10 Mar 2025
UniGenX: a unified generative foundation model that couples sequence, structure and function to accelerate scientific design across proteins, molecules and materials Gongbo Zhang Yongbin Li Renqian Luo Pipi Hu Zeru Zhao ... Xiuyuan Hu Li-ming Yuan Lei Chen Haiguang Liu Tao Qin DiffM 265 3 0 09 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator Kaiwen Zheng Yongxin Chen Huayu Chen Guande He Xuan Li Jun Zhu Qinsheng Zhang DiffM 532 11 0 03 Mar 2025
Dynamical Diffusion: Learning Temporal Dynamics with Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2025 Xingzhuo Guo Yu Zhang Baixu Chen Haoran Xu Chao Guo Mingsheng Long DiffM AI4TS 329 6 0 02 Mar 2025
Implicit Search via Discrete Diffusion: A Study on ChessInternational Conference on Learning Representations (ICLR), 2025 Jiacheng Ye Zhenyu Wu Lei Li Zhiyong Wu Xin Jiang Zhiyu Li Dianbo Sui DiffM 265 12 0 27 Feb 2025
HDM: Hybrid Diffusion Model for Unified Image Anomaly Detection Zekang Weng Jinjin Shi Jinwei Wang Zeming Han 299 0 0 26 Feb 2025
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization Taeyoung Yun Kiyoung Om Jaewoo Lee Sujin Yun Jinkyoo Park 395 5 0 24 Feb 2025
S4S: Solving for a Diffusion Model Solver Eric Frankel Sitan Chen Haibin Zhang Pang Wei Koh Lillian J. Ratliff Sewoong Oh DiffM 310 9 0 24 Feb 2025
GCC: Generative Color Constancy via Diffusing a Color CheckerComputer Vision and Pattern Recognition (CVPR), 2025 Chen-Wei Chang Cheng-De Fan Chia-Che Chang Yi-Chen Lo Yu-Chee Tseng Jiun-Long Huang Yu-Lun Liu 425 3 0 24 Feb 2025
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly DetectionInformation Processing in Medical Imaging (IPMI), 2025 Farzad Beizaee Gregory A. Lodygensky Christian Desrosiers Jose Dolz DiffM MedIm 615 3 0 24 Feb 2025
DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis Yingahao Aaron Li Rithesh Kumar Zeyu Jin DiffM 317 0 0 21 Feb 2025
On Memorization in Diffusion Models Xiangming Gu Chao Du Tianyu Pang Chongxuan Li Min Lin Ye Wang DiffM TDI 590 92 0 21 Feb 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule GenerationInternational Conference on Learning Representations (ICLR), 2025 Zhiyuan Liu Yanchen Luo Han Huang Enzhi Zhang Changhao Nai Cunchun Li Yaorui Shi Xiang Wang Kenji Kawaguchi Tat-Seng Chua 428 17 0 18 Feb 2025
SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation Ziqiang Liu Shuangrui Ding Zhixiong Zhang Xiaoyi Dong Pan Zhang Yuhang Zang Yuhang Cao Dahua Lin Jiaqi Wang 315 17 0 18 Feb 2025
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening Ye Tian L. Yang Xinchen Zhang Yunhai Tong Mengdi Wang Tengjiao Wang 265 5 0 17 Feb 2025
Maximize Your Diffusion: A Study into Reward Maximization and Alignment for Diffusion-based Control Dom Huh P. Mohapatra 373 1 0 16 Feb 2025
Rolling Ahead Diffusion for Traffic Scene Simulation Yunpeng Liu Matthew Niedoba William Harvey Adam Scibior Berend Zwartsenberg Frank Wood 398 1 0 13 Feb 2025
Rex: Reversible Solvers for Diffusion Models Zander W. Blasingame Chen Liu DiffM 294 0 0 12 Feb 2025
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving SceneComputer Vision and Pattern Recognition (CVPR), 2025 Tai-Yu Pan Sooyoung Jeon Mengdi Fan Jinsu Yoo Zhenyang Feng Mark E. Campbell Kilian Q. Weinberger Bharath Hariharan Wei-Lun Chao 538 2 0 10 Feb 2025
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Rafał Karczewski Markus Heinonen Vikas Garg DiffM 320 3 0 09 Feb 2025
Dual Caption Preference Optimization for Diffusion Models Amir Saeidi Yiran Luo Agneet Chatterjee Shamanthak Hegde Bimsara Pathiraja Yezhou Yang Chitta Baral DiffM 305 1 0 09 Feb 2025
A Comprehensive Review on Noise Control of Diffusion Model Zhehao Guo Jiedong Lang Shuyu Huang Yunfei Gao Xintong Ding DiffM 227 5 0 07 Feb 2025
Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free Gian Mario Favero Parham Saremi Emily Kaczmarek Brennan Nichyporuk Tal Arbel DiffM MedIm 284 5 0 06 Feb 2025
IPO: Iterative Preference Optimization for Text-to-Video Generation Xiaomeng Yang Zhiyu Tan Xuecheng Nie VGen 442 11 0 04 Feb 2025
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data Alexander Kolesov Manukhov Stepan Vladimir V. Palyulin Alexander Korotin 346 4 0 04 Feb 2025
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning Hanyang Zhao Haoxian Chen Ji Zhang D. Yao Wenpin Tang 487 14 0 03 Feb 2025
Visual Generation Without Guidance Huayu Chen Kai Jiang Kaiwen Zheng Jianfei Chen Hang Su Jun Zhu VLM 385 10 0 26 Jan 2025
LLM-guided Instance-level Image Manipulation with Diffusion U-Net Cross-Attention MapsBritish Machine Vision Conference (BMVC), 2025 Andrey Palaev Adil Mehmood Khan S. M. Ahsan Kazmi DiffM 206 0 0 23 Jan 2025
Lossy Compression with Pretrained Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2025 Jeremy Vonderfecht Feng Liu DiffM 280 9 0 20 Jan 2025
Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion GuidanceIEEE Transactions on Visualization and Computer Graphics (TVCG), 2024 Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan 354 5 0 20 Jan 2025
Simplified and Generalized Masked Diffusion for Discrete DataNeural Information Processing Systems (NeurIPS), 2024 Jiaxin Shi Kehang Han Zehao Wang Arnaud Doucet Michalis K. Titsias DiffM 563 275 0 17 Jan 2025
Generative diffusion model with inverse renormalization group flows Kanta Masuki Yuto Ashida DiffM 252 4 0 17 Jan 2025
Direct Unlearning Optimization for Robust and Safe Text-to-Image ModelsNeural Information Processing Systems (NeurIPS), 2024 Yong-Hyun Park Sangdoo Yun Jin-Hwa Kim Junho Kim Geonhui Jang Yonghyun Jeong Junghyo Jo Gayoung Lee 459 38 0 17 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving MapsInternational Conference on Learning Representations (ICLR), 2025 Henry Li Ronen Basri Y. Kluger DiffM 415 3 0 13 Jan 2025
A General Framework for Inference-time Scaling and Steering of Diffusion Models R. Singhal Zachary Horvitz Ryan Teehan Mengye Ren Zhou Yu Kathleen McKeown Rajesh Ranganath DiffM 490 94 0 12 Jan 2025
Personalized Preference Fine-tuning of Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2025 Meihua Dang Anikait Singh Linqi Zhou Stefano Ermon Jiaming Song 118 13 0 11 Jan 2025
HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection Anant Mehta Bryant McArthur Nagarjuna Kolloju Zhengzhong Tu 238 3 0 10 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based ModelsNeural Information Processing Systems (NeurIPS), 2024 Daniela de Albuquerque John Pearson DiffM 392 1 0 03 Jan 2025
Progressive Compression with Universally Quantized Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024 Jianlong Wu Justus C. Will Stephan Mandt DiffM 395 5 0 14 Dec 2024
Diffusion Model from Scratch Wang Zhen Dong Yunyun DiffM 276 0 0 14 Dec 2024