Variational Diffusion Models

1 July 2021

Papers citing "Variational Diffusion Models"

50 / 774 papers shown

Title
PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models Jiacheng Chen Ruizhi Deng Yasutaka Furukawa DiffM 43 23 0 02 Jun 2023
Diffusion Self-Guidance for Controllable Image Generation Dave Epstein Allan Jabri Ben Poole Alexei A. Efros Aleksander Holynski 27 243 0 01 Jun 2023
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation Nico Giambi G. Lisanti DiffM 26 7 0 01 Jun 2023
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models Ruibin Li Qihua Zhou Song Guo Jiewei Zhang Jingcai Guo Xinyang Jiang Yifei Shen Zhen-Hai Han DiffM 16 15 0 01 Jun 2023
Image generation with shortest path diffusion Ayan Das Stathi Fotiadis Anil Batra F. Nabiei FengTing Liao Sattar Vakili Da-Shan Shiu A. Bernacchia 27 9 0 01 Jun 2023
Addressing Negative Transfer in Diffusion Models Hyojun Go Jinyoung Kim Yunsung Lee Seunghyun Lee Shinhyeok Oh Hyeongdon Moon Seungtaek Choi DiffM VLM 34 24 0 01 Jun 2023
Control4D: Efficient 4D Portrait Editing with Text Ruizhi Shao Jingxiang Sun Cheng Peng Zerong Zheng Boyao Zhou Hongwen Zhang Yebin Liu DiffM 31 23 0 31 May 2023
GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic Variations Pietro Melzi Christian Rathgeb Ruben Tolosana R. Vera-Rodríguez Dominik Lawatsch Florian Domin Maxim Schaubert DiffM 26 51 0 31 May 2023
A Geometric Perspective on Diffusion Models Defang Chen Zhenyu Zhou Jianhan Mei Chunhua Shen Chun-Yen Chen C. Wang DiffM 31 19 0 31 May 2023
Direct Diffusion Bridge using Data Consistency for Inverse Problems Hyungjin Chung Jeongsol Kim Jong Chul Ye DiffM 25 52 0 31 May 2023
A Unified Framework for U-Net Design and Analysis Christopher Williams Fabian Falck George Deligiannidis Chris Holmes Arnaud Doucet Saifuddin Syed SSeg AI4CE 49 34 0 31 May 2023
Likelihood-Based Diffusion Language Models Ishaan Gulrajani Tatsunori B. Hashimoto DiffM 29 51 0 30 May 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 31 3 0 30 May 2023
BRICS: Bi-level feature Representation of Image CollectionS Dingdong Yang Yizhi Wang Ali Mahdavi-Amiri Hao Zhang DiffM 26 0 0 29 May 2023
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation Marten Lienen David Lüdke Jan Hansen-Palmus Stephan Günnemann DiffM AI4CE 36 25 0 29 May 2023
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models Zhongxi Chen Ke Sun Xianming Lin Rongrong Ji DiffM 40 28 0 29 May 2023
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling Tianqi Chen Mingyuan Zhou DiffM 65 7 0 28 May 2023
Towards Consistent Video Editing with Text-to-Image Diffusion Models Zicheng Zhang Bonan li Xuecheng Nie Congying Han Tiande Guo Luoqi Liu DiffM 26 24 0 27 May 2023
Parallel Sampling of Diffusion Models Andy Shih Suneel Belkhale Stefano Ermon Dorsa Sadigh Nima Anari DiffM 38 51 0 25 May 2023
Counterfactual Generative Models for Time-Varying Treatments Shenghao Wu Wen-liang Zhou Minshuo Chen Shixiang Zhu DiffM CML 44 6 0 25 May 2023
Efficient Neural Music Generation Max W. Y. Lam Qiao Tian Tang-Chun Li Zongyu Yin Siyuan Feng ... Mingbo Ma Xuchen Song Jitong Chen Yuping Wang Yuxuan Wang DiffM MGen 34 49 0 25 May 2023
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps Mingxiao Li Tingyu Qu Ruicong Yao Wei Sun Marie-Francine Moens DiffM 42 40 0 24 May 2023
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution Yi Ma Huan Yang Wenhan Yang Jianlong Fu Jiaying Liu DiffM 25 7 0 24 May 2023
Robust Classification via a Single Diffusion Model Huanran Chen Yinpeng Dong Zhengyi Wang Xiaohu Yang Chen-Dong Duan Hang Su Jun Zhu 82 58 0 24 May 2023
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation Tianyu Yang Thy Thy Tran Iryna Gurevych DiffM 31 1 0 24 May 2023
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models Lingbing Guo Zhuo Chen Jiaoyan Chen Yin Fang Wen Zhang Huajun Chen 32 9 0 24 May 2023
Training Diffusion Models with Reinforcement Learning Kevin Black Michael Janner Yilun Du Ilya Kostrikov Sergey Levine EGVM 44 320 0 22 May 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes Zheng Dong Zekai Fan Shixiang Zhu DiffM 31 4 0 21 May 2023
Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion Jiarui Sun Girish Chowdhary DiffM 36 8 0 21 May 2023
Watermarking Diffusion Model Yugeng Liu Zheng Li Michael Backes Yun Shen Yang Zhang WIGM 33 34 0 21 May 2023
Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation Han Huang Leilei Sun Bowen Du Weifeng Lv DiffM 37 16 0 21 May 2023
The probability flow ODE is provably fast Sitan Chen Sinho Chewi Holden Lee Yuanzhi Li Jianfeng Lu Adil Salim DiffM 43 84 0 19 May 2023
Few-shot 3D Shape Generation Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 36 1 0 19 May 2023
Diffusion Language Models Generation Can Be Halted Early Sofia Maria Lo Cicero Vaina Nikita Balagansky Daniil Gavrilov DiffM 57 0 0 18 May 2023
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling Shitong Shao Xu Dai Shouyi Yin Lujun Li Huanran Chen Yang Hu 29 17 0 18 May 2023
Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders Hao Shi Kazuki Shimada M. Hirano Takashi Shibuya Yuichiro Koyama Zhi-Wei Zhong Shusuke Takahashi Tatsuya Kawahara Yuki Mitsufuji DiffM 40 15 0 18 May 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models Yefei He Luping Liu Jing Liu Weijia Wu Hong Zhou Bohan Zhuang DiffM MQ 35 103 0 18 May 2023
Bayesian Renormalization D. Berman Marc S. Klinger A. G. Stapleton 40 16 0 17 May 2023
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics Alexander Shmakov Kevin Greif M. Fenton A. Ghosh Pierre Baldi D. Whiteson DiffM 24 38 0 17 May 2023
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs Daniel de Souza Severo James Townsend Ashish Khisti Alireza Makhzani 29 2 0 16 May 2023
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity Raman Dutt Linus Ericsson Pedro Sanchez Sotirios A. Tsaftaris Timothy M. Hospedales MedIm 37 50 0 14 May 2023
Locally Attentional SDF Diffusion for Controllable 3D Shape Generation Xin-Yang Zheng Hao Pan Peng-Shuai Wang Xin Tong Yang Liu H. Shum 48 126 0 08 May 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 31 26 0 06 May 2023
MUDiff: Unified Diffusion for Complete Molecule Generation Chenqing Hua Sitao Luan Minkai Xu Rex Ying Jie Fu Stefano Ermon Doina Precup DiffM 58 35 0 28 Apr 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 29 2 0 25 Apr 2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning Cheng Lu Huayu Chen Jianfei Chen Hang Su Chongxuan Li Jun Zhu DiffM OffRL 27 59 0 25 Apr 2023
Variational Diffusion Auto-encoder: Latent Space Extraction from Pre-trained Diffusion Models Georgios Batzolis Jan Stanczuk Carola-Bibiane Schönlieb DiffM 20 0 0 24 Apr 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine Bouman William T. Freeman DiffM 87 88 0 23 Apr 2023
DiffESM: Conditional Emulation of Earth System Models with Diffusion Models Seth Bassetti Brian Hutchinson Claudia Tebaldi Ben Kravitz DiffM 28 11 0 23 Apr 2023
Conditional Denoising Diffusion for Sequential Recommendation Yu Wang Zhiwei Liu Liangwei Yang Philip S. Yu DiffM 18 23 0 22 Apr 2023