Restart Sampling for Improving Generative Processes

26 June 2023

Papers citing "Restart Sampling for Improving Generative Processes"

38 / 38 papers shown

Title
Diffusion Model Quantization: A Review Qian Zeng Chenggong Hu Mingli Song Jie Song MQ 45 0 0 08 May 2025
Quantizing Diffusion Models from a Sampling-Aware Perspective Qian Zeng Jie Song Yuanyu Wan Huiqiong Wang Mingli Song DiffM MQ 88 1 0 04 May 2025
Improving Discriminator Guidance in Diffusion Models Alexandre Verine Mehdi Inane Florian Le Bronnec Benjamin Négrevergne Y. Chevaleyre DiffM 53 0 0 20 Mar 2025
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms Jiaming Song Linqi Zhou DiffM 71 0 0 10 Mar 2025
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute Sotiris Anagnostidis Gregor Bachmann Yeongmin Kim Jonas Kohler Markos Georgopoulos A. Sanakoyeu Yuming Du Albert Pumarola Ali K. Thabet Edgar Schönfeld 92 0 0 27 Feb 2025
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation Gianni Franchi Dat Nguyen Trong Nacim Belkhir Guoxuan Xia Andrea Pilzer UQLM 78 0 0 04 Dec 2024
Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling J. Hyung Kinam Kim Susung Hong M. Kim Jaegul Choo VGen 90 3 0 27 Nov 2024
Truncated Consistency Models Sangyun Lee Yilun Xu Tomas Geffner Giulia Fanti Karsten Kreis Arash Vahdat Weili Nie 59 3 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 Models Yong-Hyun Park Chieh-Hsin Lai Satoshi Hayakawa Yuhta Takida Yuki Mitsufuji 54 4 0 10 Oct 2024
Think While You Generate: Discrete Diffusion with Planned Denoising Sulin Liu Juno Nam Andrew Campbell Hannes Stärk Yilun Xu Tommi Jaakkola Rafael Gómez-Bombarelli DiffM 48 6 0 08 Oct 2024
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection Alireza Ganjdanesh Yan Kang Yuchen Liu Richard Y. Zhang Zhe Lin Heng Huang DiffM 40 2 0 23 Sep 2024
Exploring Selective Layer Fine-Tuning in Federated Learning Yuchang Sun Yuexiang Xie Bolin Ding Yaliang Li Jun Zhang FedML 38 2 0 28 Aug 2024
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents Yilun Xu Gabriele Corso Tommi Jaakkola Arash Vahdat Karsten Kreis 39 12 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 56 4 0 17 Jun 2024
Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering Ido Sobol Chenfeng Xu Or Litany DiffM 43 1 0 29 May 2024
Diffusion Rejection Sampling Byeonghu Na Yeongmin Kim Minsang Park DongHyeok Shin Wanmo Kang Il-Chul Moon 46 2 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 52 17 0 24 May 2024
Multistable Shape from Shading Emerges from Patch Diffusion Xinran Nicole Han T. Zickler Ko Nishino DiffM 43 0 0 23 May 2024
StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation Framework Yiheng Huang Hui Yang Chuanchen Luo Yuxi Wang Shibiao Xu Zhaoxiang Zhang Man Zhang Junran Peng VGen 57 11 0 09 May 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data Yiyuan Yang Ming Jin Haomin Wen Chaoli Zhang Keli Zhang ... Bin Yang Zenglin Xu Jiang Bian Shirui Pan Qingsong Wen DiffM AI4TS SyDa 37 39 0 29 Apr 2024
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models Amirmojtaba Sabour Sanja Fidler Karsten Kreis DiffM 40 24 0 22 Apr 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance Yifei Shen Xinyang Jiang Yezhen Wang Yifan Yang Dongqi Han Dongsheng Li FaML 29 6 0 19 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 49 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 43 27 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 50 46 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 50 3 0 17 Dec 2023
Correcting Diffusion Generation through Resampling Yujian Liu Yang Zhang Tommi Jaakkola Shiyu Chang 36 8 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 30 9 0 09 Dec 2023
FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models Junhyuk So Jungwon Lee Eunhyeok Park DiffM 34 9 0 06 Dec 2023
Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer Danah Yatim Rafail Fridman Omer Bar-Tal Yoni Kasten Tali Dekel DiffM VGen 29 51 0 28 Nov 2023
Sampler Scheduler for Diffusion Models Zitong Cheng DiffM 32 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 19 20 0 19 Oct 2023
Object-aware Inversion and Reassembly for Image Editing Zhen Yang Dinggang Gui Wen Wang Hao Chen Bohan Zhuang Chunhua Shen DiffM 33 15 0 18 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 64 11 0 02 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 46 172 0 01 Oct 2023
Elucidating the Exposure Bias in Diffusion Models Mang Ning Mingxiao Li Jianlin Su A. A. Salah Itir Onal Ertugrul DiffM 119 35 0 29 Aug 2023
Poisson Flow Generative Models Yilun Xu Ziming Liu M. Tegmark Tommi Jaakkola 100 80 0 22 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 39 207 0 06 Sep 2022