Variational Diffusion Models

1 July 2021

Papers citing "Variational Diffusion Models"

50 / 771 papers shown

Title
Maximize Your Diffusion: A Study into Reward Maximization and Alignment for Diffusion-based Control Dom Huh P. Mohapatra 89 1 0 16 Feb 2025
Rolling Ahead Diffusion for Traffic Scene Simulation Yunpeng Liu Matthew Niedoba William Harvey Adam Scibior Berend Zwartsenberg Frank D. Wood 69 0 0 13 Feb 2025
A Reversible Solver for Diffusion SDEs Zander Blasingame Chen Liu DiffM 54 0 0 12 Feb 2025
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Tai-Yu Pan Sooyoung Jeon Mengdi Fan Jinsu Yoo Zhenyang Feng Mark E. Campbell Kilian Q. Weinberger Bharath Hariharan Wei-Lun Chao 106 0 0 10 Feb 2025
Dual Caption Preference Optimization for Diffusion Models Amir Saeidi Yiran Luo Agneet Chatterjee Shamanthak Hegde Bimsara Pathiraja Yezhou Yang Chitta Baral DiffM 63 0 0 09 Feb 2025
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Rafał Karczewski Markus Heinonen Vikas K. Garg DiffM 47 0 0 09 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 70 0 0 06 Feb 2025
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data Alexander Kolesov Manukhov Stepan Vladimir V. Palyulin Alexander Korotin 53 0 0 04 Feb 2025
IPO: Iterative Preference Optimization for Text-to-Video Generation Xiaomeng Yang Zhiyu Tan Xuecheng Nie VGen 109 1 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 60 0 0 03 Feb 2025
Visual Generation Without Guidance Huayu Chen Kai Jiang Kaiwen Zheng Jianfei Chen Hang Su Jun Zhu 57 0 0 28 Jan 2025
LLM-guided Instance-level Image Manipulation with Diffusion U-Net Cross-Attention Maps Andrey Palaev Adil Mehmood Khan S. M. Ahsan Kazmi DiffM 48 0 0 23 Jan 2025
Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan 79 4 0 20 Jan 2025
Lossy Compression with Pretrained Diffusion Models Jeremy Vonderfecht Feng Liu DiffM 97 1 0 20 Jan 2025
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models Yong-Hyun Park Sangdoo Yun Jin-Hwa Kim Junho Kim Geonhui Jang Yonghyun Jeong Junghyo Jo Gayoung Lee 76 13 0 17 Jan 2025
Generative diffusion model with inverse renormalization group flows Kanta Masuki Yuto Ashida DiffM 78 0 0 17 Jan 2025
Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi Kehang Han Z. Wang Arnaud Doucet Michalis K. Titsias DiffM 82 62 0 17 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 61 15 0 17 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 54 2 0 13 Jan 2025
HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection Anant Mehta Bryant McArthur Nagarjuna Kolloju Zhengzhong Tu 47 0 0 10 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 64 0 0 03 Jan 2025
Progressive Compression with Universally Quantized Diffusion Models Yibo Yang Justus C. Will Stephan Mandt DiffM 77 2 0 14 Dec 2024
Diffusion Model from Scratch Wang Zhen Dong Yunyun DiffM 67 0 0 14 Dec 2024
Optimizing Few-Step Sampler for Diffusion Probabilistic Model Jen-Yuan Huang DiffM 75 0 0 14 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven Dilshod Azizov Muhammad Arslan Manzoor Velibor Bojkovic Yingxu Wang Zhilin Wang ... Liang Li Siwei Liu Yu Zhong Wei Liu Shangsong Liang OOD AI4TS MedIm 120 0 0 13 Dec 2024
Non-Normal Diffusion Models Henry Li VLM DiffM 110 1 0 10 Dec 2024
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models Tianwei Yin Qiang Zhang Richard Zhang William T. Freeman F. Durand Eli Shechtman Xun Huang VGen DiffM 81 11 0 10 Dec 2024
[MASK] is All You Need Vincent Tao Hu Bjorn Ommer DiffM 137 2 0 09 Dec 2024
Turbo3D: Ultra-fast Text-to-3D Generation Hanzhe Hu Tianwei Yin Fujun Luan Yiwei Hu Hao Tan Zexiang Xu Sai Bi Shubham Tulsiani Kai Zhang 3DGS 81 1 0 05 Dec 2024
Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise Optimization Jiangweizhi Peng Zhiwei Tang Gaowen Liu Charles Fleming Mingyi Hong 79 2 0 05 Dec 2024
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation Gianni Franchi Dat Nguyen Trong Nacim Belkhir Guoxuan Xia Andrea Pilzer UQLM 78 0 0 04 Dec 2024
DynamicControl: Adaptive Condition Selection for Improved Text-to-Image Generation Q. He Jinlong Peng P. Xu Boyuan Jiang Xiaobin Hu ... Yong-Jin Liu Yishuo Wang Chengjie Wang Xiaomeng Li Jingyang Zhang DiffM 122 1 0 04 Dec 2024
Hierarchical VAE with a Diffusion-based VampPrior Anna Kuzina Jakub M. Tomczak DiffM TPM BDL 92 0 0 02 Dec 2024
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation Michele De Vita Vasileios Belagiannis DiffM 93 1 0 29 Nov 2024
Mixed-State Quantum Denoising Diffusion Probabilistic Model Gino Kwun Bingzhi Zhang Quntao Zhuang DiffM 89 1 0 26 Nov 2024
Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory Eric Hanchen Jiang Yasi Zhang Zhi Zhang Yixin Wan Andrew Lizarraga Shufan Li Ying Nian Wu DiffM 77 2 0 25 Nov 2024
DiffDesign: Controllable Diffusion with Meta Prior for Efficient Interior Design Generation Yuxuan Yang Wenwen Qiang Tao Geng Jingyao Wang Changwen Zheng DiffM 71 0 0 25 Nov 2024
Exploiting Watermark-Based Defense Mechanisms in Text-to-Image Diffusion Models for Unauthorized Data Usage Soumil Datta Shih-Chieh Dai Leo Yu Guanhong Tao WIGM 76 0 0 22 Nov 2024
Leapfrog Latent Consistency Model (LLCM) for Medical Images Generation Lakshmikar R. Polamreddy Kalyan Roy Sheng-Han Yueh Deepshikha Mahato Shilpa Kuppili Jialu Li Youshan Zhang MedIm 80 1 0 22 Nov 2024
Point Cloud Resampling with Learnable Heat Diffusion Wenqiang Xu Wenrui Dai Duoduo Xue Ziyang Zheng Chenglin Li Junni Zou Hongkai Xiong 72 0 0 21 Nov 2024
Scalable, Tokenization-Free Diffusion Model Architectures with Efficient Initial Convolution and Fixed-Size Reusable Structures for On-Device Image Generation Sanchar Palit Sathya Veera Reddy Dendi Mallikarjuna Talluri Raj Narayana Gadde 41 0 0 09 Nov 2024
Constant Acceleration Flow Dogyun Park Sojin Lee S. Kim Taehoon Lee Youngjoon Hong Hyunwoo J. Kim 57 2 0 01 Nov 2024
Consistency Diffusion Bridge Models Guande He Kaiwen Zheng Jianfei Chen Fan Bao Jun-Jie Zhu DiffM 72 3 0 30 Oct 2024
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders Viacheslav Surkov Chris Wendler Mikhail Terekhov Justin Deschenaux Robert West Çağlar Gülçehre VLM 40 13 0 28 Oct 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time Justin Deschenaux Çağlar Gülçehre 44 2 0 28 Oct 2024
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation Jiwoong Park Yang Shen DiffM 34 0 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 34 0 0 26 Oct 2024
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion Emiel Hoogeboom Thomas Mensink Jonathan Heek Kay Lamerigts Ruiqi Gao Tim Salimans 125 6 0 25 Oct 2024
Structured Diffusion Models with Mixture of Gaussians as Prior Distribution Nanshan Jia Tingyu Zhu Haoyu Liu Zeyu Zheng DiffM 18 2 0 24 Oct 2024
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing Haonan Lin Mengmeng Wang Jiahao Wang Wenbin An Yan Chen Yong Liu Feng Tian Guang Dai Jingdong Wang Qianying Wang DiffM 43 9 0 24 Oct 2024