Shanchuan Lin

According to our database, Shanchuan Lin authored at least 25 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Context Unrolling in Omni Models.

Ceyuan Yang, Zhijie Lin, Yang Zhao, Fei Xiao, Hao He, Qi Zhao, Chaorui Deng, Kunchang Li, Zihan Ding, Yuwei Guo, Fuyun Wang, Fangqi Zhu, Xiaonan Nie, Shenhan Zhu, Shanchuan Lin, Hongsheng Li, Weilin Huang, Guang Shi, Haoqi Fan

CoRR, April, 2026

Continuous Adversarial Flow Models.

Shanchuan Lin, Ceyuan Yang, Zhijie Lin, Hao Chen, Haoqi Fan

CoRR, April, 2026

UniWeTok: An Unified Binary Tokenizer with Codebook Size 2¹²⁸ for Unified Multimodal Large Language Model.

Shaobin Zhuang, Yuang Ai, Jiaming Han, Weijia Mao, Xiaohui Li, Fangyikang Wang, Xiao Wang, Yan Li, Shanchuan Lin, Kun Xu, Zhenheng Yang, Huaibo Huang, Xiangyu Yue, Hao Chen, Yali Wang

CoRR, February, 2026

2025

Adversarial Flow Models.

Shanchuan Lin, Ceyuan Yang, Zhijie Lin, Hao Chen, Haoqi Fan

CoRR, November, 2025

SkipSR: Faster Super Resolution with Token Skipping.

Rohan Choudhury, Shanchuan Lin, Jianyi Wang, Hao Chen, Qi Zhao, Feng Cheng, Lu Jiang, Kris Kitani, László A. Jeni

CoRR, October, 2025

Growing Visual Generative Capacity for Pre-Trained MLLMs.

Hanyu Wang, Jiaming Han, Ziyan Yang, Qi Zhao, Shanchuan Lin, Xiangyu Yue, Abhinav Shrivastava, Zhenheng Yang, Hao Chen

CoRR, October, 2025

VINCIE: Unlocking In-context Image Editing from Video.

Leigang Qu, Feng Cheng, Ziyan Yang, Qi Zhao, Shanchuan Lin, Yichun Shi, Yicong Li, Wenjie Wang, Tat-Seng Chua, Lu Jiang

CoRR, June, 2025

Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation.

Shanchuan Lin, Ceyuan Yang, Hao He, Jianwen Jiang, Yuxi Ren, Xin Xia, Yang Zhao, Xuefeng Xiao, Lu Jiang

CoRR, June, 2025

Seedance 1.0: Exploring the Boundaries of Video Generation Models.

Yu Gao, Haoyuan Guo, Tuyen Hoang, Weilin Huang, Lu Jiang, Fangyuan Kong, Huixia Li, Jiashi Li, Liang Li, Xiaojie Li, Xunsong Li, Yifu Li, Shanchuan Lin, Zhijie Lin, Jiawei Liu, Shu Liu, Xiaonan Nie, Zhiwu Qing, Yuxi Ren, Limin Sun, Zhi Tian, Rui Wang, Sen Wang, Guoqiang Wei, Guohong Wu, Jie Wu, Ruiqi Xia, Fei Xiao, Xuefeng Xiao, Jiangqiao Yan, Ceyuan Yang, Jianchao Yang, Runkai Yang, Tao Yang, Yihang Yang, Zilyu Ye, Xuejiao Zeng, Yan Zeng, Heng Zhang, Yang Zhao, Xiaozheng Zheng, Peihao Zhu, Jiaxin Zou, Feilong Zuo

CoRR, June, 2025

SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training.

Jianyi Wang, Shanchuan Lin, Zhijie Lin, Yuxi Ren, Meng Wei, Zongsheng Yue, Shangchen Zhou, Hao Chen, Yang Zhao, Ceyuan Yang, Xuefeng Xiao, Chen Change Loy, Lu Jiang

CoRR, June, 2025

Training-free Diffusion Acceleration with Bottleneck Sampling.

Ye Tian, Xin Xia, Yuxi Ren, Shanchuan Lin, Xing Wang, Xuefeng Xiao, Yunhai Tong, Ling Yang, Bin Cui

CoRR, March, 2025

Diffusion Adversarial Post-Training for One-Step Video Generation.

Shanchuan Lin, Xin Xia, Yuxi Ren, Ceyuan Yang, Xuefeng Xiao, Lu Jiang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Videoauteur: Towards Long Narrative Video Generation.

Junfei Xiao, Feng Cheng, Lu Qi, Liangke Gui, Yang Zhao, Shanchuan Lin, Jiepeng Cen, Zhibei Ma, Alan L. Yuille, Lu Jiang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis.

Yanzuo Lu, Yuxi Ren, Xin Xia, Shanchuan Lin, Xing Wang, Xuefeng Xiao, Andy J. Ma, Xiaohua Xie, Jian-Huang Lai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

CameraCtrl II: Dynamic Scene Exploration via Camera-Controlled Video Diffusion Models.

Hao He, Ceyuan Yang, Shanchuan Lin, Yinghao Xu, Meng Wei, Liangke Gui, Qi Zhao, Gordon Wetzstein, Lu Jiang, Hongsheng Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Is Your Text-to-Image Model Robust to Caption Noise?

Weichen Yu, Ziyan Yang, Shanchuan Lin, Qi Zhao, Jianyi Wang, Liangke Gui, Matt Fredrikson, Lu Jiang

CoRR, 2024

AnimateDiff-Lightning: Cross-Model Diffusion Distillation.

Shanchuan Lin, Xiao Yang

CoRR, 2024

SDXL-Lightning: Progressive Adversarial Diffusion Distillation.

Shanchuan Lin, Anran Wang, Xiao Yang

CoRR, 2024

Diffusion Model with Perceptual Loss.

Shanchuan Lin, Xiao Yang

CoRR, 2024

Common Diffusion Noise Schedules and Sample Steps are Flawed.

Shanchuan Lin, Bingchen Liu, Jiashi Li, Xiao Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation.

Hanshu Yan, Jun Hao Liew, Long Mai, Shanchuan Lin, Jiashi Feng

CoRR, 2023

2022

Robust High-Resolution Video Matting with Temporal Guidance.

Shanchuan Lin, Linjie Yang, Imran Saleemi, Soumyadip Sengupta

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Real-Time High-Resolution Background Matting.

Shanchuan Lin, Andrey Ryabtsev, Soumyadip Sengupta, Brian L. Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Fact or Fiction: Verifying Scientific Claims.

David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms.

Aida Amini, Saadia Gabriel, Shanchuan Lin, Rik Koncel-Kedziorski, Yejin Choi, Hannaneh Hajishirzi

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019