Bin Lin

According to our database, Bin Lin authored at least 23 papers between 2023 and 2025.

Collaborative distances:

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

2025

MagicTime: Time-Lapse Video Generation Models as Metamorphic Simulators.

Shenghai Yuan, Jinfa Huang, Yujun Shi, Yongqi Xu, Ruijie Zhu, Bin Lin, Xinhua Cheng, Li Yuan, Jiebo Luo

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

Look-Back: Implicit Visual Re-focusing in MLLM Reasoning.

Shuo Yang, Yuwei Niu, Yuyang Liu, Yang Ye, Bin Lin, Li Yuan

CoRR, July, 2025

UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation.

Bin Lin, Zongjian Li, Xinhua Cheng, Yuwei Niu, Yang Ye, Xianyi He, Shenghai Yuan, Wangbo Yu, Shaodong Wang, Yunyang Ge, Yatian Pang, Li Yuan

CoRR, June, 2025

OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation.

Shenghai Yuan, Xianyi He, Yufan Deng, Yang Ye, Jinfa Huang, Bin Lin, Jiebo Luo, Li Yuan

CoRR, May, 2025

ImgEdit: A Unified Image Editing Dataset and Benchmark.

Yang Ye, Xianyi He, Zongjian Li, Bin Lin, Shenghai Yuan, Zhiyuan Yan, Bohan Hou, Li Yuan

CoRR, May, 2025

SwapAnyone: Consistent and Realistic Video Synthesis for Swapping Any Person into Any Video.

ChengShu Zhao, Yunyang Ge, Xinhua Cheng, Bin Zhu, Yatian Pang, Bin Lin, Fan Yang, Feng Gao, Li Yuan

CoRR, March, 2025

WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation.

Yuwei Niu, Munan Ning, Mengren Zheng, Bin Lin, Peng Jin, Jiaqi Liao, Kun-Peng Ning, Bin Zhu, Li Yuan

CoRR, March, 2025

TaxDiff: taxonomic-guided diffusion model for protein sequence generation.

Zongying Lin, Hao Li, Liuzhenghao Lv, Yu Wang, Bin Lin, Junwu Zhang, Zijun Chen, Calvin Yu-Chian Chen, Li Yuan, Yonghong Tian

Sci. China Inf. Sci., 2025

WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model.

Zongjian Li, Bin Lin, Yang Ye, Liuhan Chen, Xinhua Cheng, Shenghai Yuan, Li Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle.

Zhenyu Tang, Junwu Zhang, Xinhua Cheng, Wangbo Yu, Chaoran Feng, Yatian Pang, Bin Lin, Li Yuan

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Next Patch Prediction for Autoregressive Visual Generation.

Yatian Pang, Peng Jin, Shuo Yang, Bin Lin, Bin Zhu, Zhenyu Tang, Liuhan Chen, Francis E. H. Tay, Ser-Nam Lim, Harry Yang, Li Yuan

CoRR, 2024

DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses.

Yatian Pang, Bin Zhu, Bin Lin, Mingzhe Zheng, Francis E. H. Tay, Ser-Nam Lim, Harry Yang, Li Yuan

CoRR, 2024

Open-Sora Plan: Open-Source Large Video Generation Model.

Bin Lin, Yunyang Ge, Xinhua Cheng, Zongjian Li, Bin Zhu, Shaodong Wang, Xianyi He, Yang Ye, Shenghai Yuan, Liuhan Chen, Tanghui Jia, Junwu Zhang, Zhenyu Tang, Yatian Pang, Bin She, Cen Yan, Zhiheng Hu, Xiaoyi Dong, Lin Chen, Zhang Pan, Xing Zhou, Shaoling Dong, Yonghong Tian, Li Yuan

CoRR, 2024

OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video Diffusion Model.

Liuhan Chen, Zongjian Li, Bin Lin, Bin Zhu, Qian Wang, Shenghai Yuan, Xing Zhou, Xinhua Cheng, Li Yuan

CoRR, 2024

ShareGPT4Video: Improving Video Understanding and Generation with Better Captions.

Lin Chen, Xilin Wei, Jinsong Li, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Zehui Chen, Haodong Duan, Bin Lin, Zhenyu Tang, Li Yuan, Yu Qiao, Dahua Lin, Feng Zhao, Jiaqi Wang

CoRR, 2024

UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark.

Zhaokun Zhou, Qiulin Wang, Bin Lin, Yiwei Su, Rui Chen, Xin Tao, Amin Zheng, Li Yuan, Pengfei Wan, Di Zhang

CoRR, 2024

TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation.

Zongying Lin, Hao Li, Liuzhenghao Lv, Bin Lin, Junwu Zhang, Calvin Yu-Chian Chwn, Li Yuan, Yonghong Tian

CoRR, 2024

LLMBind: A Unified Modality-Task Integration Framework.

Bin Zhu, Peng Jin, Munan Ning, Bin Lin, Jinfa Huang, Qi Song, Jiaxi Cui, Junwu Zhang, Zhenyu Tang, Mingjun Pan, Xing Zhou, Li Yuan

CoRR, 2024

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models.

Bin Lin, Zhenyu Tang, Yang Ye, Jiaxi Cui, Bin Zhu, Peng Jin, Junwu Zhang, Munan Ning, Li Yuan

CoRR, 2024

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment.

Bin Zhu, Bin Lin, Munan Ning, Yang Yan, Jiaxi Cui, Hongfa Wang, Yatian Pang, Wenhao Jiang, Junwu Zhang, Zongwei Li, Caiwan Zhang, Zhifeng Li, Wei Liu, Li Yuan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

Bin Lin, Yang Ye, Bin Zhu, Jiaxi Cui, Munan Ning, Peng Jin, Li Yuan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models.

Munan Ning, Bin Zhu, Yujia Xie, Bin Lin, Jiaxi Cui, Lu Yuan, Dongdong Chen, Li Yuan

CoRR, 2023

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment.

Bin Zhu, Bin Lin, Munan Ning, Yang Yan, Jiaxi Cui, Hongfa Wang, Yatian Pang, Wenhao Jiang, Junwu Zhang, Zongwei Li, Wancai Zhang, Zhifeng Li, Wei Liu, Li Yuan

CoRR, 2023