SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

16 January 2024

Papers citing "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"

50 / 72 papers shown

Title
Differentiable Solver Search for Fast Diffusion Sampling Shuai Wang Zexian Li Qipeng Zhang Tianhui Song Xubin Li T. Ge Bo Zheng Limin Wang DiffM 114 0 0 27 May 2025
Scaling Image and Video Generation via Test-Time Evolutionary Search Haoran He Jiajun Liang X. Wang Pengfei Wan Di Zhang Kun Gai Ling Pan DiffM 227 0 0 23 May 2025
Learning Flexible Forward Trajectories for Masked Molecular Diffusion Hyunjin Seo Taewon Kim Sihyun Yu SungSoo Ahn DiffM AI4CE 152 0 0 22 May 2025
PhySense: Sensor Placement Optimization for Accurate Physics Sensing Yuezhou Ma Haixu Wu Hang Zhou Huikun Weng Jianmin Wang Mingsheng Long DiffM 195 0 0 19 May 2025
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts Hongkun Dou Zeyu Li Xingyu Jiang Haoyang Li Lijun Yang Wen Yao Yue Deng DiffM 232 0 0 12 May 2025
Generative Pre-trained Autoregressive Diffusion Transformer Yuan Zhang Jiacheng Jiang Guoqing Ma Zhiying Lu Haoyang Huang Jianlong Yuan Nan Duan VGen 117 2 0 12 May 2025
Learning Joint ID-Textual Representation for ID-Preserving Image Synthesis Zichuan Liu Liming Jiang Qing Yan Yumin Jia Hao Kang Xin Lu DiffM 121 0 0 19 Apr 2025
Perception Encoder: The best visual embeddings are not at the output of the network Daniel Bolya Po-Yao (Bernie) Huang Peize Sun Jang Hyun Cho Andrea Madotto ... Shiyu Dong Nikhila Ravi Daniel Li Piotr Dollár Christoph Feichtenhofer ObjD VOS 311 9 0 17 Apr 2025
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching Aaron J. Havens Benjamin Kurt Miller Bing Yan Carles Domingo-Enrich Anuroop Sriram ... Brandon Amos Brian Karrer Xiang Fu Guan-Horng Liu Ricky T. Q. Chen DiffM 154 3 0 16 Apr 2025
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation Wangbo Zhao Yizeng Han Jiasheng Tang Kai Wang Hao Luo Yibing Song Gao Huang Fan Wang Yang You 147 0 0 09 Apr 2025
A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives Shuyu Li Shulei Ji Zihao Wang Songruoyao Wu Jiaxing Yu Kai Zhang MGen VGen 272 1 0 01 Apr 2025
Long-Context Autoregressive Video Modeling with Next-Frame Prediction Yuchao Gu Weijia Mao Mike Zheng Shou VGen 165 11 0 25 Mar 2025
Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing Jaihoon Kim Taehoon Yoon Jisung Hwang Minhyuk Sung DiffM 153 3 0 25 Mar 2025
EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolation Zihao Zhang Haoran Chen Haoyu Zhao Guansong Lu Yanwei Fu Hang Xu Zuxuan Wu VGen DiffM 151 2 0 20 Mar 2025
UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing Tsu-Jui Fu Yusu Qian Chen Chen Wenze Hu Zhe Gan Yue Yang 206 2 0 16 Mar 2025
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization Kyle Sargent Kyle Hsu Justin Johnson L. Fei-Fei Jiajun Wu DiffM MU 140 8 0 14 Mar 2025
DiT-Air: Revisiting the Efficiency of Diffusion Model Architecture Design in Text to Image Generation Chen Chen Rui Qian Wenze Hu Tsu-Jui Fu Jialing Tong ... Lezhi Li Bowen Zhang Alex Schwing Wei Liu Yue Yang 136 0 0 13 Mar 2025
FlowTok: Flowing Seamlessly Across Text and Image Tokens Ju He Qihang Yu Qihao Liu Liang-Chieh Chen 134 1 0 13 Mar 2025
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding Xiangxiang Chu Renda Li Yong Wang 243 1 0 08 Mar 2025
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials Chaitanya K. Joshi Xiang Fu Yi-Lun Liao Vahe Gharakhanyan Benjamin Kurt Miller Anuroop Sriram Zachary W. Ulissi DiffM 199 10 0 05 Mar 2025
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation Sucheng Ren Qihang Yu Ju He Xiaohui Shen Alan Yuille Liang-Chieh Chen VGen 194 11 0 27 Feb 2025
Text-to-Image Rectified Flow as Plug-and-Play Priors Xiaofeng Yang Cheng Chen Xulei Yang Fayao Liu Guosheng Lin DiffM 116 7 0 21 Feb 2025
Towards Precise Scaling Laws for Video Diffusion Transformers Yuanyang Yin Yaqi Zhao Mingwu Zheng Ke Lin Jiarong Ou ... Pengfei Wan Di Zhang Baoqun Yin Wentao Zhang Kun Gai 189 3 0 03 Jan 2025
DiC: Rethinking Conv3x3 Designs in Diffusion Models Yuchuan Tian Jing Han Chengcheng Wang Yuchen Liang Chao Xu Hanting Chen DiffM 142 2 0 31 Dec 2024
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer Hong Chen Zihan Wang Xianrui Li Xingwu Sun Fangyi Chen Jiang Liu Jiadong Wang Bhiksha Raj Zicheng Liu Emad Barsoum VLM 246 10 0 14 Dec 2024
SVGFusion: Scalable Text-to-SVG Generation via Vector Space Diffusion Ximing Xing Juncheng Hu Jing Zhang Dong Xu Qian Yu 191 4 0 11 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 174 0 0 29 Nov 2024
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Bastian Wittmann Yannick Wattenberg Tamaz Amiranashvili Suprosanna Shit Bjoern Menze 154 4 0 26 Nov 2024
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection Jinqi Xiao S. Sang Tiancheng Zhi Jing Liu Qing Yan Linjie Luo Bo Yuan Bo Yuan VLM 185 2 0 26 Nov 2024
Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing P. Xu Boyuan Jiang Xiaobin Hu Donghao Luo Qu He Jing Zhang Chengjie Wang Yunsheng Wu Charles Ling Boyu Wang 196 3 0 24 Nov 2024
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation Hao Phung Quan Dao T. Dao Hoang Phan Dimitris Metaxas Anh Tran Mamba 151 5 0 06 Nov 2024
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities Shaozhe Hao Xuantong Liu Xianbiao Qi Shihao Zhao Bojia Zi Rong Xiao Kai Han Kwan-Yee K. Wong 179 3 0 18 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Sihyun Yu Sangkyung Kwak Huiwon Jang Jongheon Jeong Jonathan Huang Jinwoo Shin Saining Xie OCL 157 102 0 09 Oct 2024
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions Weifeng Lin Xinyu Wei Renrui Zhang Le Zhuo Shitian Zhao ... Junlin Xie Junlin Xie Yu Qiao Peng Gao Hongsheng Li MLLM DiffM 174 15 0 23 Sep 2024
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 128 3 0 03 Sep 2024
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models Hunter Nisonoff Junhao Xiong Stephan Allenspach Jennifer Listgarten 153 44 0 03 Jun 2024
TerDiT: Ternary Diffusion Models with Transformers Xudong Lu Aojun Zhou Ziyi Lin Qi Liu Yuhui Xu Renrui Zhang Yafei Wen Shuai Ren Peng Gao Junchi Yan MQ 95 3 0 23 May 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 143 6 0 15 Mar 2024
Fast Training of Diffusion Models with Masked Transformers Hongkai Zheng Weili Nie Arash Vahdat Anima Anandkumar DiffM 99 73 0 15 Jun 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 93 34 0 06 May 2023
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion Tomas Jakab Ruining Li Shangzhe Wu Christian Rupprecht Andrea Vedaldi 80 29 0 20 Apr 2023
Diffusion Schrödinger Bridge Matching Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 112 87 0 29 Mar 2023
Improving and generalizing flow-based generative models with minibatch optimal transport Alexander Tong Kilian Fatras Nikolay Malkin G. Huguet Yanlei Zhang Jarrid Rector-Brooks Guy Wolf Yoshua Bengio OOD DiffM OT 114 308 0 01 Feb 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 123 60 0 27 Jan 2023
On the Importance of Noise Scheduling for Diffusion Models Ting Chen DiffM 88 159 0 26 Jan 2023
Scalable Adaptive Computation for Iterative Generation Allan Jabri David Fleet Ting-Li Chen DiffM 74 115 0 22 Dec 2022
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 120 2,436 0 19 Dec 2022
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 254 137 0 26 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 215 1,053 0 07 Sep 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 196 3,971 0 26 Jul 2022