Consistency Models

2 March 2023

Papers citing "Consistency Models"

44 / 144 papers shown

Title
Physics-Informed Diffusion Models Jan-Hendrik Bastek WaiChing Sun D. Kochmann DiffM AI4CE 47 10 0 21 Mar 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 46 6 0 15 Mar 2024
Improving Diffusion-Based Generative Models via Approximated Optimal Transport Daegyu Kim Jooyoung Choi Chaehun Shin Uiwon Hwang Sungroh Yoon OT 35 2 0 08 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models B. Fesl Benedikt Bock Florian Strasser Michael Baur M. Joham Wolfgang Utschick DiffM 31 0 0 05 Mar 2024
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation Hongjian Liu Qingsong Xie Zhijie Deng Chen Chen Shixiang Tang Fueyang Fu Zheng-Jun Zha H. Lu Zheng-jun Zha 41 6 0 03 Mar 2024
Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping Jianbin Zheng Minghui Hu Zhongyi Fan Chaoyue Wang Changxing Ding Dacheng Tao Tat-Jen Cham 35 26 0 29 Feb 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 56 17 0 28 Feb 2024
Diffusion Model-Based Image Editing: A Survey Yi Huang Jiancheng Huang Yifan Liu Mingfu Yan Jiaxi Lv Jianzhuang Liu Wei Xiong He Zhang Liangliang Cao Liangliang Cao EGVM 66 84 0 27 Feb 2024
Equivariant Graph Neural Operator for Modeling 3D Dynamics Minkai Xu Jiaqi Han Aaron Lou Jean Kossaifi Arvind Ramanathan Kamyar Azizzadenesheli J. Leskovec Stefano Ermon A. Anandkumar AI4CE 24 16 0 19 Jan 2024
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting Wouter Van Gansbeke Bert De Brabandere DiffM 22 11 0 18 Jan 2024
Optimizing Diffusion Noise Can Serve As Universal Motion Priors Korrawe Karunratanakul Konpat Preechakul Emre Aksan Thabo Beeler Supasorn Suwajanakorn Siyu Tang DiffM 19 37 0 19 Dec 2023
Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering Youwang Kim Tae-Hyun Oh Gerard Pons-Moll DiffM 17 47 0 18 Dec 2023
Tell Me What You See: Text-Guided Real-World Image Denoising E. Yosef Raja Giryes DiffM 48 2 0 15 Dec 2023
Uncertainty Visualization via Low-Dimensional Posterior Projections Omer Yair E. Nehme T. Michaeli UQCV 30 2 0 12 Dec 2023
SMaRt: Improving GANs with Score Matching Regularity Mengfei Xia Yujun Shen Ceyuan Yang Ran Yi Wenping Wang Yong-jin Liu 24 5 0 30 Nov 2023
Paragraph-to-Image Generation with Information-Enriched Diffusion Model Weijia Wu Zhuang Li Yefei He Mike Zheng Shou Chunhua Shen Lele Cheng Yan Li Tingting Gao Di Zhang VLM 126 24 0 24 Nov 2023
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models Fei Kong Jinhao Duan Lichao Sun Hao-Ran Cheng Renjing Xu Hengtao Shen Xiao-lan Zhu Xiaoshuang Shi Kaidi Xu 34 3 0 23 Nov 2023
Continual Learning of Diffusion Models with Generative Distillation Sergi Masip Pau Rodriguez Tinne Tuytelaars Gido M. van de Ven VLM DiffM 21 7 0 23 Nov 2023
Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner Mengfei Xia Yujun Shen Changsong Lei Yu Zhou Ran Yi Deli Zhao Wenping Wang Yong-jin Liu 16 5 0 14 Oct 2023
Score Mismatching for Generative Modeling Senmao Ye Fei Liu DiffM 20 8 0 20 Sep 2023
Elucidating the solution space of extended reverse-time SDE for diffusion models Qinpeng Cui Xinyi Zhang Zongqing Lu Qingmin Liao DiffM 30 5 0 12 Sep 2023
SE(3) Equivariant Augmented Coupling Flows Laurence I. Midgley Vincent Stimper Javier Antorán Emile Mathieu Bernhard Schölkopf José Miguel Hernández-Lobato 30 22 0 20 Aug 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts Suttisak Wizadwongsa Worameth Chinchuthakun Pramook Khungurn Amit Raj Supasorn Suwajanakorn DiffM 33 2 0 20 Jul 2023
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI H. Bedel Tolga Çukur DiffM MedIm 23 24 0 18 Jul 2023
PC-Droid: Faster diffusion and improved quality for particle cloud generation Matthew Leigh Debasish Sengupta J. A. Raine Guillaume Quétant T. Golling DiffM 31 14 0 13 Jul 2023
SVDM: Single-View Diffusion Model for Pseudo-Stereo 3D Object Detection Yuguang Shi DiffM 25 0 0 05 Jul 2023
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision A. Tewari Tianwei Yin George Cazenavette Semon Rezchikov J. Tenenbaum F. Durand William T. Freeman Vincent Sitzmann DiffM 36 88 0 20 Jun 2023
Improving Tuning-Free Real Image Editing with Proximal Guidance Ligong Han Song Wen Qi Chen Zhixing Zhang Kunpeng Song ... Qilong Zhangli Jindong Jiang Zhaoyang Xia Akash Srivastava Dimitris N. Metaxas DiffM 22 56 0 08 Jun 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 20 17 0 18 May 2023
TESS: Text-to-Text Self-Conditioned Simplex Diffusion Rabeeh Karimi Mahabadi Hamish Ivison Jaesung Tae James Henderson Iz Beltagy Matthew E. Peters Arman Cohan 24 20 0 15 May 2023
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model Zhe Ye Wei Xue Xuejiao Tan Jie Chen Qi-fei Liu Yi-Ting Guo DiffM 28 40 0 11 May 2023
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization Q. Gao Zilong Li Junping Zhang Yi Zhang Hongming Shan DiffM MedIm 21 49 0 04 Apr 2023
$$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States$ $\infty$ -Diff: Infinite Resolution Diffusion with Subsampled Mollified States Sam Bond-Taylor Chris G. Willcocks 32 15 0 31 Mar 2023
From paintbrush to pixel: A review of deep neural networks in AI-generated art Anne-Sofie Maerten Derya Soydaner 30 22 0 14 Feb 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 30 4 0 13 Feb 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning Emanuele Aiello D. Valsesia E. Magli DiffM 20 4 0 19 Jan 2023
Fast Sampling of Diffusion Models via Operator Learning Hongkai Zheng Weili Nie Arash Vahdat Kamyar Azizzadenesheli Anima Anandkumar DiffM 44 132 0 24 Nov 2022
DiffusionDet: Diffusion Model for Object Detection Shoufa Chen Pei Sun Yibing Song Ping Luo 37 442 0 17 Nov 2022
Poisson Flow Generative Models Yilun Xu Ziming Liu M. Tegmark Tommi Jaakkola 85 80 0 22 Sep 2022
Nezha: Deployable and High-Performance Consensus Using Synchronized Clocks Jinkun Geng Anirudh Sivaraman B. Prabhakar M. Rosenblum 9 8 0 03 Jun 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 182 487 0 01 Feb 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 204 774 0 27 Jan 2022
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 184 259 0 07 Jan 2021
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016