Variational Diffusion Models

1 July 2021

Papers citing "Variational Diffusion Models"

50 / 774 papers shown

Title
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images Zhuoran Yu Chenchen Zhu Sean Culatana Raghuraman Krishnamoorthi Fanyi Xiao Yong Jae Lee 117 15 0 04 Dec 2023
Conditional Variational Diffusion Models Gabriel della Maggiora L. Croquevielle Nikita Desphande Harry Horsley Thomas Heinis Artur Yakimovich DiffM 19 3 0 04 Dec 2023
X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model L. Ran Xiaodong Cun Jia-Wei Liu Rui Zhao Song Zijie Xintao Wang Jussi Keppo Mike Zheng Shou 40 11 0 04 Dec 2023
Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion Hanyu Wang Pengxiang Wu Kevin Dela Rosa Chen Wang Abhinav Shrivastava 35 9 0 04 Dec 2023
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs Gege Gao Weiyang Liu Anpei Chen Andreas Geiger Bernhard Schölkopf DiffM 39 45 0 30 Nov 2023
One-step Diffusion with Distribution Matching Distillation Tianwei Yin Michael Gharbi Richard Zhang Eli Shechtman Frédo Durand William T. Freeman Taesung Park DiffM 135 230 0 30 Nov 2023
IMMA: Immunizing text-to-image Models against Malicious Adaptation Yijia Zheng Raymond A. Yeh 53 8 0 30 Nov 2023
DiffCAD: Weakly-Supervised Probabilistic CAD Model Retrieval and Alignment from an RGB Image Daoyi Gao Dávid Rozenberszki Stefan Leutenegger Angela Dai DiffM 27 11 0 30 Nov 2023
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps Zhenyu Zhou Defang Chen Can Wang Chun-Yen Chen DiffM 32 44 0 30 Nov 2023
On Exact Inversion of DPM-Solvers Seongmin Hong Kyeonghyun Lee Suh Yoon Jeon Hyewon Bae Se Young Chun DiffM 39 21 0 30 Nov 2023
SMaRt: Improving GANs with Score Matching Regularity Mengfei Xia Yujun Shen Ceyuan Yang Ran Yi Wenping Wang Yong-jin Liu 44 5 0 30 Nov 2023
Image Inpainting via Tractable Steering of Diffusion Models Guy Van den Broeck Mathias Niepert Mathias Niepert DiffM TPM 43 16 0 28 Nov 2023
Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation Teo Deveney Jan Stanczuk L. Kreusser Chris Budd Carola-Bibiane Schönlieb DiffM 31 5 0 27 Nov 2023
LLMGA: Multimodal Large Language Model based Generation Assistant Bin Xia Shiyin Wang Yingfan Tao Yitong Wang Jiaya Jia MLLM 41 12 0 27 Nov 2023
Efficient Dataset Distillation via Minimax Diffusion Jianyang Gu Saeed Vahidian Vyacheslav Kungurtsev Haonan Wang Wei Jiang Yang You Yiran Chen DD 44 28 0 27 Nov 2023
FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration Zihao Zou Jiaming Liu Shirin Shoushtari Yubo Wang Weijie Gan Ulugbek S. Kamilov VGen DiffM 36 2 0 26 Nov 2023
Functional Diffusion Biao Zhang Peter Wonka DiffM 108 9 0 26 Nov 2023
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets A. Blattmann Tim Dockhorn Sumith Kulal Daniel Mendelevitch Maciej Kilian ... Zion English Vikram S. Voleti Adam Letts Varun Jampani Robin Rombach VGen 182 1,035 0 25 Nov 2023
ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model Eslam Mohamed Bakr Liangbing Zhao Vincent Tao Hu Matthieu Cord Patrick Pérez Mohamed Elhoseiny 32 1 0 24 Nov 2023
DiffusionMat: Alpha Matting as Sequential Refinement Learning Yangyang Xu Shengfeng He Wenqi Shao Kwan-Yee K. Wong Yu Qiao Ping Luo DiffM 29 3 0 22 Nov 2023
Accelerating Inference in Molecular Diffusion Models with Latent Representations of Protein Structure Ian Dunn D. Koes DiffM GNN 26 3 0 22 Nov 2023
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation Chenliang Zhou Fangcheng Zhong Param Hanji Zhilin Guo Kyle Fogarty Alejandro Sztrajman Hongyun Gao Cengiz Öztireli 21 3 0 20 Nov 2023
Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model Chunming He Chengyu Fang Yulun Zhang Chenyu You Kai Li Longxiang Tang Fengyang Xiao Xiu Li Z. Guo 60 27 0 20 Nov 2023
Deep Equilibrium Diffusion Restoration with Parallel Sampling Jingyun Liang Yue Shi Kai Zhang Yulun Zhang Radu Timofte Luc Van Gool DiffM 27 10 0 20 Nov 2023
Mitigating Exposure Bias in Discriminator Guided Diffusion Models Eleftherios Tsonis Paraskevi Tzouveli Athanasios Voulodimos DiffM 13 2 0 18 Nov 2023
Graph Signal Diffusion Model for Collaborative Filtering Yunqin Zhu Chao Wang Qi Zhang Hui Xiong DiffM 31 10 0 15 Nov 2023
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs Yanwu Xu Yang Zhao Zhisheng Xiao Tingbo Hou 137 107 0 14 Nov 2023
Probabilistic reconstruction of Dark Matter fields from biased tracers using diffusion models Core Francisco Park Victoria Ono N. Mudur Yueying Ni C. Cuesta-Lázaro DiffM 21 3 0 14 Nov 2023
Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation Han Gao Xu Han Xiantao Fan Luning Sun Liping Liu Lian Duan Jian-Xun Wang DiffM AI4CE 35 21 0 14 Nov 2023
Sampler Scheduler for Diffusion Models Zitong Cheng DiffM 32 2 0 12 Nov 2023
A 3D Conditional Diffusion Model for Image Quality Transfer -- An Application to Low-Field MRI Seunghoi Kim Henry F. J. Tregidgo A. Eldaly Matteo Figini Daniel C. Alexander DiffM MedIm 36 7 0 11 Nov 2023
Conditional Optimal Transport on Function Spaces Bamdad Hosseini Alexander W. Hsu Amirhossein Taghvaei OT 45 14 0 09 Nov 2023
I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models Shiwei Zhang Jiayu Wang Yingya Zhang Kang Zhao Hangjie Yuan Zhanyue Qin Xiang Wang Deli Zhao Jingren Zhou DiffM VGen 57 201 0 07 Nov 2023
Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models Shengzhe Zhou Zejian Lee Sheng Zhang Lefan Hou Changyuan Yang Guang Yang Zhiyuan Yang Lingyun Sun DiffM 43 0 0 07 Nov 2023
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems Derek Lilienthal Paul Mello Magdalini Eirinaki Stas Tiomkin SyDa DiffM 26 3 0 06 Nov 2023
STRIDE: Structure-guided Generation for Inverse Design of Molecules Shehtab Zaman D. Akhiyarov Mauricio Araya-Polo Kenneth Chiu 34 1 0 06 Nov 2023
Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning Jiwan Hur Jaehyun Choi Gyojin Han Dong-Jae Lee Junmo Kim 38 5 0 02 Nov 2023
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion Lunjun Zhang Yuwen Xiong Ze Yang Sergio Casas Rui Hu R. Urtasun 47 51 0 02 Nov 2023
Gaussian Mixture Solvers for Diffusion Models Hanzhong Guo Cheng Lu Fan Bao Tianyu Pang Shuicheng Yan Chao Du Chongxuan Li 38 9 0 02 Nov 2023
Diffusion models for probabilistic programming Simon Dirmeier Fernando Pérez-Cruz 58 0 0 01 Nov 2023
Score Normalization for a Faster Diffusion Exponential Integrator Sampler Guoxuan Xia Duolikun Danier Ayan Das Stathi Fotiadis F. Nabiei Ushnish Sengupta A. Bernacchia DiffM 24 3 0 31 Oct 2023
A Tractable Inference Perspective of Offline RL Xuejie Liu Guy Van den Broeck Mathias Niepert Yitao Liang OffRL 36 1 0 31 Oct 2023
Scaling Riemannian Diffusion Models Aaron Lou Minkai Xu Stefano Ermon 40 9 0 30 Oct 2023
DiffEnc: Variational Diffusion with a Learned Encoder Beatrix M. G. Nielsen Anders Christensen Andrea Dittadi Ole Winther DiffM 24 10 0 30 Oct 2023
The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch Tim Z. Xiao Johannes Zenn Robert Bamler 22 0 0 30 Oct 2023
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model Shiwei Liu Tian Zhu Milong Ren Chungong Yu Dongbo Bu Haicang Zhang DiffM 36 18 0 30 Oct 2023
Text-to-3D with Classifier Score Distillation Xin Yu Yuanchen Guo Yangguang Li Ding Liang Song-Hai Zhang Xiaojuan Qi DiffM 46 83 0 30 Oct 2023
Bespoke Solvers for Generative Flow Models Neta Shaul Juan C. Pérez Ricky T. Q. Chen Ali K. Thabet Albert Pumarola Y. Lipman 31 23 0 29 Oct 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 34 10 0 28 Oct 2023
Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models Joseph Goodier Neill D.F. Campbell DiffM 43 6 0 26 Oct 2023