Differentiable Solver Search for Fast Diffusion Sampling

27 May 2025

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Papers citing "Differentiable Solver Search for Fast Diffusion Sampling"

35 / 35 papers shown

Title
DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Tianhui Song Weixin Feng Shuai Wang Xinfeng Li Tiezheng Ge Bo Zheng Limin Wang MoMe 108 1 0 16 Apr 2025
FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution Shuai Wang Zexian Li Tianhui Song Xubin Li Tiezheng Ge Bo Zheng Liwen Wang 83 3 0 30 Oct 2024
FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner Wenliang Zhao Minglei Shi Xumin Yu Jie Zhou Jiwen Lu 41 2 0 26 Sep 2024
On the Trajectory Regularity of ODE-based Diffusion Sampling Defang Chen Zhenyu Zhou Can Wang Chunhua Shen Siwei Lyu 64 19 0 18 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 54 44 0 09 May 2024
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models Amirmojtaba Sabour Sanja Fidler Karsten Kreis DiffM 57 33 0 22 Apr 2024
Accelerating Image Generation with Sub-path Linear Approximation Model Chen Xu Tian-Shu Song Weixin Feng Xubin Li Tiezheng Ge Bo Zheng Limin Wang 47 13 0 22 Apr 2024
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation Mingyuan Zhou Huangjie Zheng Zhendong Wang Mingzhang Yin Hai Huang DiffM 80 69 0 05 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 284 1,364 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 97 30 0 29 Feb 2024
Accelerating Diffusion Sampling with Optimized Time Steps Shuchen Xue Zhaoqiang Liu Fei Chen Shifeng Zhang Tianyang Hu Enze Xie Zhenguo Li DiffM 83 28 0 27 Feb 2024
SDXL-Lightning: Progressive Adversarial Diffusion Distillation Shanchuan Lin Anran Wang Xiao Yang 58 129 0 21 Feb 2024
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers Nanye Ma Mark Goldstein M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden Saining Xie DiffM 113 200 0 16 Jan 2024
One-step Diffusion with Distribution Matching Distillation Tianwei Yin Michael Gharbi Richard Zhang Eli Shechtman Frédo Durand William T. Freeman Taesung Park DiffM 199 273 0 30 Nov 2023
Bespoke Solvers for Generative Flow Models Neta Shaul Juan C. Pérez Ricky T. Q. Chen Ali K. Thabet Albert Pumarola Y. Lipman 55 26 0 29 Oct 2023
GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment Dhruba Ghosh Hanna Hajishirzi Ludwig Schmidt 84 180 0 17 Oct 2023
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion Dongjun Kim Chieh-Hsin Lai Wei-Hsiang Liao Naoki Murata Yuhta Takida Toshimitsu Uesaka Yutong He Yuki Mitsufuji Stefano Ermon DiffM 84 192 0 01 Oct 2023
Deep Equilibrium Object Detection Shuai Wang Yao Teng Limin Wang 125 8 0 18 Aug 2023
Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis Yansong Gao Zhihong Pan Xiaoxia Zhou Le Kang Pratik Chaudhari DiffM 28 6 0 22 Apr 2023
Consistency Models Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 98 951 0 02 Mar 2023
Symbolic Discovery of Optimization Algorithms Xiangning Chen Chen Liang Da Huang Esteban Real Kaiyuan Wang ... Xuanyi Dong Thang Luong Cho-Jui Hsieh Yifeng Lu Quoc V. Le 152 374 0 13 Feb 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models Wenliang Zhao Lujia Bai Yongming Rao Jie Zhou Jiwen Lu DiffM 71 217 0 09 Feb 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 93 2,301 0 19 Dec 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 156 596 0 02 Nov 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 207 1,307 0 06 Oct 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 190 1,003 0 07 Sep 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 214 1,449 0 02 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 198 1,981 0 01 Jun 2022
Fast Sampling of Diffusion Models with Exponential Integrator Qinsheng Zhang Yongxin Chen DiffM 63 433 0 29 Apr 2022
MaskGIT: Masked Generative Image Transformer Huiwen Chang Han Zhang Lu Jiang Ce Liu William T. Freeman ViT 153 678 0 08 Feb 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 266 512 0 01 Feb 2022
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 341 6,480 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 283 7,384 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 642 18,096 0 19 Jun 2020
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 262 5,394 0 28 Sep 2018