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Pseudo Numerical Methods for Diffusion Models on Manifolds

International Conference on Learning Representations (ICLR), 2022

20 February 2022

Zhou Zhao

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Papers citing "Pseudo Numerical Methods for Diffusion Models on Manifolds"

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Title
ERDDCI: Exact Reversible Diffusion via Dual-Chain Inversion for High-Quality Image Editing Jimin Dai Yanzhe Zhang Shuo Chen Zhiqiang Wang Lei Luo DiffM 128 1 0 18 Oct 2024
Improving Long-Text Alignment for Text-to-Image Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024 Luping Liu Chao Du Tianyu Pang Zehan Wang Chongxuan Li Dong Xu VLM 271 11 0 15 Oct 2024
How to Backdoor Consistency Models?Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024 Chengen Wang Murat Kantarcioglu DiffM AAML 863 1 0 14 Oct 2024
$$\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete Diffusion Models$ $\textit{Jump Your Steps}$ : Optimizing Sampling Schedule of Discrete Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024 Yong-Hyun Park Chieh-Hsin Lai Satoshi Hayakawa Yuhta Takida Yuki Mitsufuji 153 25 0 10 Oct 2024
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task LearningComputer Vision and Pattern Recognition (CVPR), 2024 Qianli Ma Xuefei Ning Dongrui Liu Li Niu Linfeng Zhang MoMe 263 1 0 09 Oct 2024
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning Saemi Moon M. Lee Sangdon Park Dongwoo Kim 326 7 0 08 Oct 2024
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2024 Haokun Chen Hang Li Yao Zhang Gengyuan Zhang Jinhe Bi Juil Sock Philip Torr Denis Krompass Denis Krompass Volker Tresp 350 12 0 07 Oct 2024
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample OptimizationInternational Conference on Learning Representations (ICLR), 2024 Zichen Miao Zhengyuan Yang Kevin Lin Ze Wang Zicheng Liu Lijuan Wang Qiang Qiu 360 14 0 04 Oct 2024
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024 Seyedmorteza Sadat Otmar Hilliges Romann M. Weber DiffM 339 44 0 03 Oct 2024
Scene Graph Disentanglement and Composition for Generalizable Complex Image GenerationNeural Information Processing Systems (NeurIPS), 2024 Yunnan Wang Ziqiang Li Zequn Zhang Wenyao Zhang Baao Xie Xihui Liu Wenjun Zeng Xin Jin CoGe DiffM 158 5 0 01 Oct 2024
Simple and Fast Distillation of Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2024 Zhenyu Zhou Defang Chen Can Wang Chun Chen Siwei Lyu DiffM 191 22 0 29 Sep 2024
FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity RefinerNeural Information Processing Systems (NeurIPS), 2024 Wenliang Zhao Minglei Shi Xumin Yu Jie Zhou Jiwen Lu 162 4 0 26 Sep 2024
Learning Quantized Adaptive Conditions for Diffusion ModelsEuropean Conference on Computer Vision (ECCV), 2024 Yuchen Liang Yuchuan Tian Lei Yu Huao Tang Jie Hu Xiangzhong Fang Hanting Chen DiffM 164 0 0 26 Sep 2024
Flexiffusion: Segment-wise Neural Architecture Search for Flexible Denoising Schedule Hongtao Huang Xiaojun Chang Weitong Chen 260 0 0 26 Sep 2024
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network SelectionEuropean Conference on Computer Vision (ECCV), 2024 Alireza Ganjdanesh Yan Kang Yuchen Liu Richard Y. Zhang Zhe Lin Heng Huang DiffM 289 12 0 23 Sep 2024
DilateQuant: Accurate and Efficient Diffusion Quantization via Weight Dilation Xuewen Liu Zhikai Li Minhao Jiang Mengjuan Chen Jianquan Li Qingyi Gu MQ 308 5 0 22 Sep 2024
JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation Hadrien Reynaud Matthew Baugh Mischa Dombrowski Sarah Cechnicka Qingjie Meng Bernhard Kainz VLM 219 0 0 21 Sep 2024
Present and Future Generalization of Synthetic Image Detectors Pablo Bernabeu Perez Enrique Lopez-Cuena Dario Garcia-Gasulla 161 0 0 21 Sep 2024
Fundus image enhancement through direct diffusion bridgesIEEE journal of biomedical and health informatics (IEEE JBHI), 2024 Sehui Kim Hyungjin Chung Se Hie Park Eui-Sang Chung Kayoung Yi Jong Chul Ye DiffM MedIm 163 4 0 19 Sep 2024
BrainDecoder: Style-Based Visual Decoding of EEG Signals Minsuk Choi Hiroshi Ishikawa 203 2 0 09 Sep 2024
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic CompensationEuropean Conference on Computer Vision (ECCV), 2024 Wenliang Zhao Haolin Wang Jie Zhou Jiwen Lu DiffM 151 8 0 05 Sep 2024
Can Your Generative Model Detect Out-of-Distribution Covariate Shift? Christiaan Viviers Amaan Valiuddin Francisco Caetano Lemar Abdi Lena Filatova Peter H. N. de With Fons van der Sommen OOD OODD 216 5 0 04 Sep 2024
TrajWeaver: Trajectory Recovery with State Propagation Diffusion Model Jinming Wang Hai Wang Hongkai Wen Geyong Min Man Luo 111 0 0 01 Sep 2024
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe InterpolationInternational Conference on Learning Representations (ICLR), 2024 Xiaojuan Wang Boyang Zhou Brian L. Curless Ira Kemelmacher-Shlizerman Aleksander Holynski Steven M. Seitz DiffM 295 29 0 27 Aug 2024
FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting Liyao Jiang Negar Hassanpour Mohammad Salameh Mohan Sai Singamsetti Fengyu Sun Wei Lu Di Niu DiffM 279 2 0 21 Aug 2024
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative GenerationEuropean Conference on Computer Vision (ECCV), 2024 Jack Lu Ryan Teehan Mengye Ren DiffM 247 8 0 05 Aug 2024
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion ModelsACM Multimedia (MM), 2024 Mingzhao Yang Shangchao Su Bin Li Xiangyang Xue 184 12 0 29 Jul 2024
Temporal Feature Matters: A Framework for Diffusion Model QuantizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Yushi Huang Yazhe Niu Xianglong Liu Jing Liu Yuhang Li Jiwen Lu Dacheng Tao MQ DiffM 605 4 0 28 Jul 2024
Unpaired Photo-realistic Image Deraining with Energy-informed Diffusion Model Yuanbo Wen Tao Gao Ting Chen DiffM 156 10 0 24 Jul 2024
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget Vikash Sehwag Xianghao Kong Jingtao Li Michael Spranger Lingjuan Lyu DiffM 209 24 0 22 Jul 2024
Safe-SD: Safe and Traceable Stable Diffusion with Text Prompt Trigger for Invisible Generative Watermarking Zhiyuan Ma Guoli Jia Biqing Qi Bowen Zhou WIGM 352 17 0 18 Jul 2024
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis Haeil Lee Han S. Lee Seoyeon Gye Junmo Kim DiffM 214 6 0 16 Jul 2024
QVD: Post-training Quantization for Video Diffusion Models Shilong Tian Hong Chen Chengtao Lv Yu Liu Jinyang Guo Xianglong Liu Shengxi Li Hao Yang Tao Xie VGen MQ 240 12 0 16 Jul 2024
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training Yunshu Wu Yingtao Luo Xianghao Kong Evangelos E. Papalexakis Greg Ver Steeg DiffM 238 3 0 12 Jul 2024
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models Seyedmorteza Sadat Manuel Kansy Otmar Hilliges Romann M. Weber 321 35 0 02 Jul 2024
FORA: Fast-Forward Caching in Diffusion Transformer Acceleration Pratheba Selvaraju Tianyu Ding Tianyi Chen Ilya Zharkov Luming Liang 337 58 0 01 Jul 2024
StyleShot: A Snapshot on Any Style Junyao Gao Yanchen Liu Yanan Sun Yinhao Tang Yanhong Zeng Kai Chen Cairong Zhao TTA 3DH VLM 358 38 0 01 Jul 2024
A Sanity Check for AI-generated Image Detection Shilin Yan Ouxiang Li Jiayin Cai Y. Hao Xiaolong Jiang Feng-Long Xie Weidi Xie VLM 504 93 0 27 Jun 2024
Consistency Models Made Easy Zhengyang Geng Ashwini Pokle William Luo Justin Lin J. Zico Kolter 239 76 0 20 Jun 2024
IRASim: A Fine-Grained World Model for Robot Manipulation Fangqi Zhu Hongtao Wu Song Guo Yuxiao Liu Chilam Cheang Tao Kong 287 25 0 20 Jun 2024
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models Alireza Ganjdanesh Reza Shirkavand Shangqian Gao Heng Huang DiffM VLM 374 9 0 17 Jun 2024
Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI Robert Honig Javier Rando Nicholas Carlini Florian Tramèr WIGM AAML 347 33 0 17 Jun 2024
Bayesian Conditioned Diffusion Models for Inverse Problems Alper Gungor Bahri Batuhan Bilecen Tolga Çukur DiffM 194 3 0 14 Jun 2024
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising Zigeng Chen Xinyin Ma Gongfan Fang Zhenxiong Tan Xinchao Wang 291 15 0 11 Jun 2024
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation Yuanhao Zhai Kevin Lin Zhengyuan Yang Linjie Li Jianfeng Wang Chung-Ching Lin David Doermann Junsong Yuan Lijuan Wang VGen DiffM 216 24 0 11 Jun 2024
Flow map matching with stochastic interpolants: A mathematical framework for consistency models Nicholas M. Boffi M. S. Albergo Eric Vanden-Eijnden 153 20 0 11 Jun 2024
Binarized Diffusion Model for Image Super-ResolutionNeural Information Processing Systems (NeurIPS), 2024 Zheng Chen Haotong Qin Yong Guo Xiongfei Su Xin Yuan Linghe Kong Yulun Zhang DiffM 224 15 0 09 Jun 2024
BitsFusion: 1.99 bits Weight Quantization of Diffusion ModelNeural Information Processing Systems (NeurIPS), 2024 Yang Sui Yanyu Li Vidit Goel Yerlan Idelbayev Junli Cao Ju Hu Dhritiman Sagar Bo Yuan Sergey Tulyakov Jian Ren MQ 220 36 0 06 Jun 2024
Guiding a Diffusion Model with a Bad Version of Itself Tero Karras M. Aittala Tuomas Kynkaanniemi J. Lehtinen Timo Aila S. Laine 294 186 0 04 Jun 2024
Inpainting Pathology in Lumbar Spine MRI with Latent Diffusion Colin Hansen Simas Glinskis Ashwin Raju Micha Kornreich JinHyeong Park Jayashri Pawar Richard Herzog Li Zhang Benjamin Odry MedIm DiffM 152 4 0 04 Jun 2024