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Restart Sampling for Improving Generative Processes

Neural Information Processing Systems (NeurIPS), 2023

26 June 2023

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Papers citing "Restart Sampling for Improving Generative Processes"

50 / 54 papers shown

Title
Sawtooth Sampling for Time Series Denoising Diffusion Implicit Models Heiko Oppel Andreas Spilz Michael Munz DiffM AI4TS 302 0 0 26 Nov 2025
Solving Diffusion Inverse Problems with Restart Posterior Sampling Bilal Ahmed Joseph G. Makin DiffM 215 0 0 24 Nov 2025
Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models Byeonghu Na Minsang Park Gyuwon Sim DongHyeok Shin Heesun Bae Mina Kang Se Jung Kwon Wanmo Kang Il-Chul Moon 167 1 0 28 Oct 2025
Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling Ruoyu Wang B. Zhu J. Li Liangyu Yuan Chi Zhang DiffM 116 0 0 27 Oct 2025
Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations Kaibo Wang Jianda Mao Tong Wu Yang Xiang 56 0 0 24 Oct 2025
GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models Peter Holderrieth Uriel Singer Tommi Jaakkola Ricky T. Q. Chen Y. Lipman Brian Karrer DiffM 88 0 0 29 Sep 2025
Incomplete Data, Complete Dynamics: A Diffusion Approach Zihan Zhou Chenguang Wang Hongyi Ye Yongtao Guan Tianshu Yu DiffM AI4CE 141 0 0 24 Sep 2025
Dynamic Classifier-Free Diffusion Guidance via Online Feedback Pinelopi Papalampidi Olivia Wiles Ira Ktena Aleksandar Shtedritski Emanuele Bugliarello Ivana Kajić Isabela Albuquerque Aida Nematzadeh DiffM 151 3 0 19 Sep 2025
WorldForge: Unlocking Emergent 3D/4D Generation in Video Diffusion Model via Training-Free Guidance Chenxi Song Yanming Yang Tong Zhao Ruibo Li Chi Zhang VGen 197 3 0 18 Sep 2025
RichControl: Structure- and Appearance-Rich Training-Free Spatial Control for Text-to-Image Generation Liheng Zhang Lexi Pang Hang Ye Xiaoxuan Ma Yizhou Wang DiffM 143 0 0 03 Jul 2025
Ctrl-Z Sampling: Diffusion Sampling with Controlled Random Zigzag Explorations Shunqi Mao Wei Guo Chaoyi Zhang Jieting Long Ke Xie Weidong Cai DiffM 257 0 0 25 Jun 2025
A Review on Score-based Generative Models for Audio Applications Ge Zhu Yutong Wen Zhiyao Duan DiffM MedIm 158 3 0 10 Jun 2025
Test-Time Scaling of Diffusion Models via Noise Trajectory Search Vignav Ramesh Morteza Mardani DiffM 146 9 0 24 May 2025
Improving Compositional Generation with Diffusion Models Using Lift Scores Chenning Yu Sicun Gao DiffM 1.1K 1 0 19 May 2025
Diffusion Model Quantization: A Review Qian Zeng Chenggong Hu Weilong Dai Jie Song MQ 319 2 0 08 May 2025
Quantizing Diffusion Models from a Sampling-Aware Perspective Qian Zeng Jie Song Yuanyu Wan Huiqiong Wang Mingli Song DiffM MQ 244 1 0 04 May 2025
Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing Jaihoon Kim Taehoon Yoon Jisung Hwang Minhyuk Sung DiffM 366 16 0 25 Mar 2025
Improving Discriminator Guidance in Diffusion Models Alexandre Verine Mehdi Inane Florian Le Bronnec Benjamin Négrevergne Y. Chevaleyre DiffM 260 0 0 20 Mar 2025
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms Jiaming Song Linqi Zhou DiffM 282 6 0 10 Mar 2025
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less ComputeComputer Vision and Pattern Recognition (CVPR), 2025 Sotiris Anagnostidis Gregor Bachmann Yeongmin Kim Jonas Kohler Markos Georgopoulos A. Sanakoyeu Yuming Du Albert Pumarola Ali K. Thabet Edgar Schönfeld 295 3 0 27 Feb 2025
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms Yinuo Ren Haoxuan Chen Yuchen Zhu Wei Guo Yongxin Chen Grant M. Rotskoff Molei Tao Lexing Ying DiffM 252 25 0 01 Feb 2025
Towards Understanding and Quantifying Uncertainty for Text-to-Image GenerationComputer Vision and Pattern Recognition (CVPR), 2024 Gianni Franchi Dat Nguyen Trong Nacim Belkhir Guoxuan Xia Andrea Pilzer UQLM 298 3 0 04 Dec 2024
Spatiotemporal Skip Guidance for Enhanced Video Diffusion SamplingComputer Vision and Pattern Recognition (CVPR), 2024 J. Hyung Kinam Kim Susung Hong M. Kim Jaegul Choo VGen 258 13 0 27 Nov 2024
TabDiff: a Multi-Modal Diffusion Model for Tabular Data GenerationInternational Conference on Learning Representations (ICLR), 2024 Juntong Shi Minkai Xu Harper Hua Hengrui Zhang Stefano Ermon J. Leskovec DiffM 210 1 0 27 Oct 2024
Truncated Consistency ModelsInternational Conference on Learning Representations (ICLR), 2024 Sangyun Lee Yilun Xu Tomas Geffner Giulia Fanti Karsten Kreis Arash Vahdat Weili Nie 280 12 0 18 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 141 23 0 10 Oct 2024
Think While You Generate: Discrete Diffusion with Planned DenoisingInternational Conference on Learning Representations (ICLR), 2024 Sulin Liu Juno Nam Andrew Campbell Hannes Stärk Yilun Xu Tommi Jaakkola Rafael Gómez-Bombarelli DiffM 322 34 0 08 Oct 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 277 11 0 23 Sep 2024
Exploring Selective Layer Fine-Tuning in Federated LearningInternational Symposium on Information Theory (ISIT), 2024 Yuchang Sun Yuexiang Xie Bolin Ding Yaliang Li Jun Zhang FedML 144 1 0 28 Aug 2024
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents Yilun Xu Gabriele Corso Tommi Jaakkola Arash Vahdat Karsten Kreis 264 20 0 03 Jul 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 354 9 0 17 Jun 2024
Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering Ido Sobol Chenfeng Xu Or Litany DiffM 146 4 0 29 May 2024
Diffusion Rejection Sampling Byeonghu Na Yeongmin Kim Minsang Park DongHyeok Shin Wanmo Kang Il-Chul Moon 222 10 0 28 May 2024
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity Haoxuan Chen Yinuo Ren Lexing Ying Grant M. Rotskoff 247 36 0 24 May 2024
Multistable Shape from Shading Emerges from Patch DiffusionNeural Information Processing Systems (NeurIPS), 2024 Xinran Nicole Han T. Zickler Ko Nishino DiffM 150 4 0 23 May 2024
StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation FrameworkACM Multimedia (MM), 2024 Yiheng Huang Hui Yang Chuanchen Luo Yuxi Wang Shibiao Xu Zhaoxiang Zhang Man Zhang Junran Peng VGen 287 34 0 09 May 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data Yiyuan Yang Ming Jin Haomin Wen Chaoli Zhang Yuxuan Liang ... Cheng-Ming Liu Bin Yang Zenglin Xu Jiang Bian Shirui Pan AI4TS DiffM SyDa 413 77 0 29 Apr 2024
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models Amirmojtaba Sabour Sanja Fidler Karsten Kreis DiffM 163 54 0 22 Apr 2024
Understanding and Improving Training-free Loss-based Diffusion GuidanceNeural Information Processing Systems (NeurIPS), 2024 Yifei Shen Xinyang Jiang Yezhen Wang Yifan Yang Dongqi Han Dongsheng Li FaML 219 20 0 19 Mar 2024
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation Hongjian Liu Qingsong Xie Zhijie Deng Chen Chen Weizhen He Fueyang Fu Zheng-Jun Zha H. Lu Zheng-jun Zha 365 13 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 287 39 0 29 Feb 2024
Dirichlet Flow Matching with Applications to DNA Sequence Design Hannes Stärk Bowen Jing Chenyu Wang Gabriele Corso Bonnie Berger Regina Barzilay Tommi Jaakkola BDL 325 84 0 08 Feb 2024
Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models Nikita Starodubcev Artem Fedorov Artem Babenko Dmitry Baranchuk DiffM 203 5 0 17 Dec 2023
Correcting Diffusion Generation through Resampling Yujian Liu Yang Zhang Tommi Jaakkola Shiyu Chang 244 12 0 10 Dec 2023
Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models H. Kwon Tim Hsu Wenyu Sun Wonseok Jeong Fikret Aydin ... Xiao Chen Matthew R. Carbone Deyu Lu Fei Zhou Tuan Anh Pham DiffM 219 17 0 09 Dec 2023
FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models Junhyuk So Jungwon Lee Eunhyeok Park DiffM 250 13 0 06 Dec 2023
Space-Time Diffusion Features for Zero-Shot Text-Driven Motion TransferComputer Vision and Pattern Recognition (CVPR), 2023 Danah Yatim Rafail Fridman Omer Bar-Tal Yoni Kasten Tali Dekel DiffM VGen 254 85 0 28 Nov 2023
Sampler Scheduler for Diffusion Models Zitong Cheng DiffM 189 2 0 12 Nov 2023
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models Gabriele Corso Yilun Xu Valentin De Bortoli Regina Barzilay Tommi Jaakkola DiffM 317 38 0 19 Oct 2023
Object-aware Inversion and Reassembly for Image EditingInternational Conference on Learning Representations (ICLR), 2023 Zhen Yang Dinggang Gui Wen Wang Hao Chen Bohan Zhuang Chunhua Shen DiffM 200 26 0 18 Oct 2023