Score-based Generative Modeling in Latent Space

10 June 2021

Papers citing "Score-based Generative Modeling in Latent Space"

50 / 123 papers shown

Title
Sparse-to-Sparse Training of Diffusion Models Inês Cardoso Oliveira Decebal Constantin Mocanu Luis A. Leiva DiffM 138 0 0 30 Apr 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 116 0 0 19 Mar 2025
Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis Kai Qiu Xianrui Li Jason Kuen Hong Chen Xiaohao Xu Jiuxiang Gu Yinyi Luo Bhiksha Raj Zhe Lin Marios Savvides 92 1 0 11 Mar 2025
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials Chaitanya K. Joshi Xiang Fu Yi-Lun Liao Vahe Gharakhanyan Benjamin Kurt Miller Anuroop Sriram Zachary W. Ulissi DiffM 156 8 0 05 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 116 3 0 03 Mar 2025
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Rafał Karczewski Markus Heinonen Vikas Garg DiffM 88 1 0 09 Feb 2025
Improved Training Technique for Latent Consistency Models Quan Dao Khanh Doan Di Liu Trung Le Dimitris N. Metaxas 103 3 0 03 Feb 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 114 2 0 13 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 91 0 0 03 Jan 2025
Generative Modelling with High-Order Langevin Dynamics Ziqiang Shi Rujie Liu DiffM 95 2 0 03 Jan 2025
Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models Xiaochen Zhu Georgi Karadzhov Chenxi Whitehouse Andreas Vlachos DiffM 134 0 0 15 Dec 2024
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer Hong Chen Zihan Wang Xianrui Li Xingwu Sun Fangyi Chen Jiang Liu Jiadong Wang Bhiksha Raj Zicheng Liu Emad Barsoum VLM 182 8 0 14 Dec 2024
WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model Zongjian Li Bin Lin Yang Ye Liuhan Chen Xinhua Cheng Shenghai Yuan Li-xin Yuan VGen DiffM 146 19 0 26 Nov 2024
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation Hao Phung Quan Dao T. Dao Hoang Phan Dimitris Metaxas Anh Tran Mamba 119 5 0 06 Nov 2024
LDPM: Towards undersampled MRI reconstruction with MR-VAE and Latent Diffusion Prior Xingjian Tang Jingwei Guan Linge Li Ran Shi Youmei Zhang Mengye Lyu Li Yan MedIm DiffM 107 0 0 05 Nov 2024
A Geometric Framework for Understanding Memorization in Generative Models Brendan Leigh Ross Hamidreza Kamkari Tongzi Wu Rasa Hosseinzadeh Zhaoyan Liu George Stein Jesse C. Cresswell Gabriel Loaiza-Ganem 118 8 0 31 Oct 2024
Truncated Consistency Models Sangyun Lee Yilun Xu Tomas Geffner Giulia Fanti Karsten Kreis Arash Vahdat Weili Nie 111 3 0 18 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting Soon Hoe Lim Yijin Wang Annan Yu Emma Hart Michael W. Mahoney Xiaoye S. Li N. Benjamin Erichson AI4TS 83 2 0 04 Oct 2024
KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models Pouyan Navard Amin Karimi Monsefi Mengxi Zhou Wei-Lun Chao Alper Yilmaz R. Ramnath DiffM 92 3 0 02 Oct 2024
Diffusion Models in Low-Level Vision: A Survey Chunming He Yuqi Shen Chengyu Fang Fengyang Xiao Longxiang Tang Yulun Zhang W. Zuo Zhenhua Guo Xiu Li VLM DiffM MedIm 118 39 0 17 Jun 2024
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior Anming Gu Edward Chien Kristjan Greenewald 69 7 0 11 Jun 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 98 2 0 27 May 2024
Glauber Generative Model: Discrete Diffusion Models via Binary Classification Harshit Varma Dheeraj M. Nagaraj Karthikeyan Shanmugam VLM 126 3 0 27 May 2024
Curriculum Direct Preference Optimization for Diffusion and Consistency Models Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu N. Sebe Mubarak Shah EGVM 120 7 0 22 May 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 214 21 0 28 Feb 2024
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 56 0 0 11 Jan 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 70 1 0 05 Jan 2024
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 149 12 0 19 Oct 2023
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 84 3 0 03 Sep 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Jing Liu 143 31 0 27 Aug 2023
Generalizable Synthetic Image Detection via Language-guided Contrastive Learning Haiwei Wu Jiantao Zhou Shile Zhang 164 30 0 23 May 2023
Score-based Diffusion Models in Function Space Jae Hyun Lim Nikola B. Kovachki Ricardo Baptista Christopher Beckham Kamyar Azizzadenesheli ... Karsten Kreis Jan Kautz Christopher Pal Arash Vahdat Anima Anandkumar DiffM 151 47 0 14 Feb 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 76 6 0 13 Feb 2023
Removing Structured Noise with Diffusion Models Tristan S.W. Stevens Hans van Gorp F. C. Meral Junseob Shin Jason Yu Jean-Luc Robert Ruud J. G. van Sloun DiffM 77 0 0 20 Jan 2023
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 146 590 0 02 Nov 2022
Controllable and Compositional Generation with Latent-Space Energy-Based Models Weili Nie Arash Vahdat Anima Anandkumar 62 78 0 21 Oct 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 173 1,120 0 01 Jul 2021
Diffusion Priors In Variational Autoencoders Antoine Wehenkel Gilles Louppe DiffM 44 23 0 29 Jun 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching Chin-Wei Huang Jae Hyun Lim Aaron Courville DiffM 75 194 0 05 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 213 7,831 0 11 May 2021
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization Daiqing Li Junlin Yang Karsten Kreis Antonio Torralba Sanja Fidler GAN MedIm 105 186 0 12 Apr 2021
Noise Estimation for Generative Diffusion Models Robin San-Roman Eliya Nachmani Lior Wolf DiffM 78 107 0 06 Apr 2021
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech Myeonghun Jeong Hyeongju Kim Sung Jun Cheon Byoung Jin Choi N. Kim DiffM 59 196 0 03 Apr 2021
Symbolic Music Generation with Diffusion Models Gautam Mittal Jesse Engel Curtis Hawthorne Ian Simon MGen DiffM 84 193 0 30 Mar 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 257 744 0 02 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 329 3,675 0 18 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 139 663 0 22 Jan 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 233 277 0 07 Jan 2021
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 119 2,950 0 17 Dec 2020
Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao Yang Song Ben Poole Ying Nian Wu Diederik P. Kingma DiffM 54 128 0 15 Dec 2020