RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories

10 March 2025

Papers citing "RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories"

45 / 45 papers shown

Title
One-Step Diffusion Distillation through Score Implicit Matching Weijian Luo Zemin Huang Zhengyang Geng J. Zico Kolter Guo-Jun Qi DiffM 55 17 0 22 Oct 2024
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow Fu-Yun Wang Ling Yang Zhaoyang Huang Mengdi Wang Hongsheng Li 49 18 0 09 Oct 2024
Accelerating Diffusion Models with One-to-Many Knowledge Distillation Linfeng Zhang Kaisheng Ma VLM 58 2 0 05 Oct 2024
Simple and Fast Distillation of Diffusion Models Zhenyu Zhou Defang Chen Can Wang Chun Chen Siwei Lyu DiffM 55 6 0 29 Sep 2024
Multistep Distillation of Diffusion Models via Moment Matching Tim Salimans Thomas Mensink Jonathan Heek Emiel Hoogeboom DiffM 54 26 0 06 Jun 2024
EM Distillation for One-step Diffusion Models Sirui Xie Zhisheng Xiao Diederik P. Kingma Tingbo Hou Ying Nian Wu Kevin Patrick Murphy Tim Salimans Ben Poole Ruiqi Gao VLM DiffM 62 27 0 27 May 2024
Improved Distribution Matching Distillation for Fast Image Synthesis Tianwei Yin Michael Gharbi Taesung Park Richard Zhang Eli Shechtman Frédo Durand William T. Freeman DiffM 76 108 0 23 May 2024
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator Hanshu Yan Xingchao Liu Jiachun Pan Jun Hao Liew Qiang Liu Jiashi Feng 54 42 0 13 May 2024
Distilling Diffusion Models into Conditional GANs Minguk Kang Richard Zhang Connelly Barnes Sylvain Paris Suha Kwak Jaesik Park Eli Shechtman Jun-Yan Zhu Taesung Park 50 40 0 09 May 2024
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis Yuxi Ren Xin Xia Yanzuo Lu Jiacheng Zhang Jie Wu Pan Xie Xing Wang Xuefeng Xiao 84 69 0 21 Apr 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Patrick Esser Sumith Kulal A. Blattmann Rahim Entezari Jonas Muller ... Zion English Kyle Lacey Alex Goodwin Yannik Marek Robin Rombach DiffM 203 1,187 0 05 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 63 29 0 29 Feb 2024
SDXL-Lightning: Progressive Adversarial Diffusion Distillation Shanchuan Lin Anran Wang Xiao Yang 45 123 0 21 Feb 2024
Fast Timing-Conditioned Latent Audio Diffusion Zach Evans CJ Carr Josiah Taylor Scott H. Hawley Jordi Pons DiffM 89 106 0 07 Feb 2024
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models Junsong Chen Yue Wu Simian Luo Enze Xie Sayak Paul Ping Luo Hang Zhao Zhenguo Li VLM 46 75 0 10 Jan 2024
SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation Thuan Hoang Nguyen Anh Tran DiffM 36 63 0 08 Dec 2023
Digital Life Project: Autonomous 3D Characters with Social Intelligence Zhongang Cai Jian-Dong Jiang Zhongfei Qing Xinying Guo Mingyuan Zhang ... Yukun Wei Xiaogang Wang Chen Change Loy Lei Yang Ziwei Liu VGen 57 27 0 07 Dec 2023
One-step Diffusion with Distribution Matching Distillation Tianwei Yin Michael Gharbi Richard Zhang Eli Shechtman Frédo Durand William T. Freeman Taesung Park DiffM 142 242 0 30 Nov 2023
Adversarial Diffusion Distillation Axel Sauer Dominik Lorenz A. Blattmann Robin Rombach 152 353 0 28 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 200 1,082 0 25 Nov 2023
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference Simian Luo Yiqin Tan Longbo Huang Jian Li Hang Zhao DiffM 54 448 0 06 Oct 2023
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation Kangfu Mei M. Delbracio Hossein Talebi Zhengzhong Tu Vishal M. Patel P. Milanfar VLM DiffM 73 11 0 02 Oct 2023
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation Xingchao Liu Xiwen Zhang Jianzhu Ma Jian Peng Qiang Liu 137 208 0 12 Sep 2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models Weijian Luo Tianyang Hu Shifeng Zhang Jiacheng Sun Zhenguo Li Zhihua Zhang 46 120 0 29 May 2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation Zhengyi Wang Cheng Lu Yikai Wang Fan Bao Chongxuan Li Hang Su Jun Zhu DiffM 144 837 0 25 May 2023
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation Tong Wu Zhihao Fan Xiao Liu Yeyun Gong Yelong Shen ... Juntao Li Zhongyu Wei Jian Guo Nan Duan Weizhu Chen VLM 97 58 0 16 May 2023
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation Yuval Kirstain Adam Polyak Uriel Singer Shahbuland Matiana Joe Penna Omer Levy EGVM 185 375 0 02 May 2023
Zero-1-to-3: Zero-shot One Image to 3D Object Ruoshi Liu Rundi Wu Basile Van Hoorick P. Tokmakov Sergey Zakharov Carl Vondrick DiffM 60 1,064 0 20 Mar 2023
Fast Sampling of Diffusion Models via Operator Learning Hongkai Zheng Weili Nie Arash Vahdat Kamyar Azizzadenesheli Anima Anandkumar DiffM 74 139 0 24 Nov 2022
LAION-5B: An open large-scale dataset for training next generation image-text models Christoph Schuhmann Romain Beaumont Richard Vencu Cade Gordon Ross Wightman ... Srivatsa Kundurthy Katherine Crowson Ludwig Schmidt R. Kaczmarczyk J. Jitsev VLM MLLM CLIP 113 3,355 0 16 Oct 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 103 1,189 0 06 Oct 2022
Imagen Video: High Definition Video Generation with Diffusion Models Jonathan Ho William Chan Chitwan Saharia Jay Whang Ruiqi Gao ... Diederik P. Kingma Ben Poole Mohammad Norouzi David J. Fleet Tim Salimans VGen 94 1,501 0 05 Oct 2022
DreamFusion: Text-to-3D using 2D Diffusion Ben Poole Ajay Jain Jonathan T. Barron B. Mildenhall 104 2,359 0 29 Sep 2022
Rectified Flow: A Marginal Preserving Approach to Optimal Transport Qiang Liu OT 138 94 0 29 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 92 917 0 07 Sep 2022
Diffusion-GAN: Training GANs with Diffusion Zhendong Wang Huangjie Zheng Pengcheng He Weizhu Chen Mingyuan Zhou DiffM 45 225 0 05 Jun 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 204 802 0 27 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 274 6,768 0 13 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 240 15,081 0 20 Dec 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 206 263 0 07 Jan 2021
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 262 17,550 0 19 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 146 3,803 0 12 Jul 2019
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 54 1,082 0 16 Aug 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 173 6,780 0 12 Mar 2015
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 222 43,290 0 01 May 2014