Variational Diffusion Models

1 July 2021

Papers citing "Variational Diffusion Models"

50 / 769 papers shown

Title
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 103 0 0 10 Feb 2025
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Rafał Karczewski Markus Heinonen Vikas K. Garg DiffM 42 0 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 51 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 65 0 0 06 Feb 2025
IPO: Iterative Preference Optimization for Text-to-Video Generation Xiaomeng Yang Zhiyu Tan Xuecheng Nie VGen 101 1 0 04 Feb 2025
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data Alexander Kolesov Manukhov Stepan Vladimir V. Palyulin Alexander Korotin 46 0 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 55 0 0 03 Feb 2025
Visual Generation Without Guidance Huayu Chen Kai Jiang Kaiwen Zheng Jianfei Chen Hang Su J. Zhu 55 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 71 4 0 20 Jan 2025
Lossy Compression with Pretrained Diffusion Models Jeremy Vonderfecht Feng Liu DiffM 89 1 0 20 Jan 2025
Generative diffusion model with inverse renormalization group flows Kanta Masuki Yuto Ashida DiffM 63 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 74 62 0 17 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 73 13 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 52 2 0 13 Jan 2025
HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection Anant Mehta Bryant McArthur Nagarjuna Kolloju Zhengzhong Tu 42 0 0 10 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 51 0 0 03 Jan 2025
Progressive Compression with Universally Quantized Diffusion Models Yibo Yang Justus C. Will Stephan Mandt DiffM 67 2 0 14 Dec 2024
Diffusion Model from Scratch Wang Zhen Dong Yunyun DiffM 59 0 0 14 Dec 2024
Optimizing Few-Step Sampler for Diffusion Probabilistic Model Jen-Yuan Huang DiffM 60 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 Z. Wang ... Liang Li Siwei Liu Yu Zhong Wei Liu Shangsong Liang OOD AI4TS MedIm 116 0 0 13 Dec 2024
Non-Normal Diffusion Models Henry Li VLM DiffM 100 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 79 11 0 10 Dec 2024
[MASK] is All You Need Vincent Tao Hu Bjorn Ommer DiffM 135 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 79 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 72 0 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 68 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 ... Y. Liu Y. Wang Chengjie Wang X. Li J. Zhang DiffM 120 1 0 04 Dec 2024
Hierarchical VAE with a Diffusion-based VampPrior Anna Kuzina Jakub M. Tomczak DiffM TPM BDL 82 0 0 02 Dec 2024
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation Michele De Vita Vasileios Belagiannis DiffM 76 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
DiffDesign: Controllable Diffusion with Meta Prior for Efficient Interior Design Generation Yuxuan Yang Jingyao Wang Tao Geng Wenwen Qiang Changwen Zheng Fuchun Sun DiffM 61 0 0 25 Nov 2024
Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory Eric H. Jiang Yasi Zhang Zhi Zhang Yixin Wan Andrew Lizarraga Shufan Li Ying Nian Wu DiffM 67 1 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 71 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 69 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 33 0 0 09 Nov 2024
Constant Acceleration Flow Dogyun Park Sojin Lee S. Kim Taehoon Lee Youngjoon Hong Hyunwoo J. Kim 50 2 0 01 Nov 2024
Consistency Diffusion Bridge Models Guande He Kaiwen Zheng Jianfei Chen Fan Bao Jun-Jie Zhu DiffM 54 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 39 2 0 28 Oct 2024
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation Jiwoong Park Yang Shen DiffM 23 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 27 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 52 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 33 9 0 24 Oct 2024
Rectified Diffusion Guidance for Conditional Generation Mengfei Xia Nan Xue Yujun Shen Ran Yi Tieliang Gong Y. Liu DiffM 20 3 0 24 Oct 2024
FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling Zhengqiang Zhang Ruihuang Li Lei Zhang 33 2 0 24 Oct 2024
Scaling Diffusion Language Models via Adaptation from Autoregressive Models Shansan Gong Shivam Agarwal Yizhe Zhang Jiacheng Ye Lin Zheng ... Peilin Zhao W. Bi Jiawei Han Hao Peng Lingpeng Kong AI4CE 70 14 0 23 Oct 2024