Debang Li

According to our database, Debang Li authored at least 16 papers between 2017 and 2026.

Collaborative distances:

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

2026

SkyReels-V3 Technique Report.

Debang Li, Zhengcong Fei, Tuanhui Li, Yikun Dou, Zheng Chen, Jiangping Yang, Mingyuan Fan, Jingtao Xu, Jiahua Wang, Baoxuan Gu, Mingshan Chang, Wenjing Cai, Yuqiang Xie, Binjie Mao, Youqiang Zhang, Nuo Pang, Hao Zhang, Yuzhe Jin, Zhiheng Xu, Dixuan Lin, Guibin Chen, Yahui Zhou

CoRR, January, 2026

2025

SkyReels-Audio: Omni Audio-Conditioned Talking Portraits in Video Diffusion Transformers.

Zhengcong Fei, Hao Jiang, Di Qiu, Baoxuan Gu, Youqiang Zhang, Jiahua Wang, Jialin Bai, Debang Li, Mingyuan Fan, Guibin Chen, Yahui Zhou

CoRR, June, 2025

SkyReels-V2: Infinite-length Film Generative Model.

Guibin Chen, Dixuan Lin, Jiangping Yang, Chunze Lin, Junchen Zhu, Mingyuan Fan, Hao Zhang, Sheng Chen, Zheng Chen, Chengcheng Ma, Weiming Xiong, Wei Wang, Nuo Pang, Kang Kang, Zhiheng Xu, Yuzhe Jin, Yupeng Liang, Yubing Song, Peng Zhao, Boyuan Xu, Di Qiu, Debang Li, Zhengcong Fei, Yang Li, Yahui Zhou

CoRR, April, 2025

SkyReels-A2: Compose Anything in Video Diffusion Transformers.

Zhengcong Fei, Debang Li, Di Qiu, Jiahua Wang, Yikun Dou, Rui Wang, Jingtao Xu, Mingyuan Fan, Guibin Chen, Yang Li, Yahui Zhou

CoRR, April, 2025

Ingredients: Blending Custom Photos with Video Diffusion Transformers.

Zhengcong Fei, Debang Li, Di Qiu, Changqian Yu, Mingyuan Fan

CoRR, January, 2025

2024

OTAMatch: Optimal Transport Assignment With PseudoNCE for Semi-Supervised Learning.

Jinjin Zhang, Junjie Liu, Debang Li, Qiuyu Huang, Jiaxin Chen, Di Huang

IEEE Trans. Image Process., 2024

Video Diffusion Transformers are In-Context Learners.

Zhengcong Fei, Di Qiu, Changqian Yu, Debang Li, Mingyuan Fan, Xiang Wen

CoRR, 2024

Scaling Diffusion Transformers to 16 Billion Parameters.

Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Junshi Huang

CoRR, 2024

Dimba: Transformer-Mamba Diffusion Models.

Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Youqiang Zhang, Junshi Huang

CoRR, 2024

Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models.

Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Junshi Huang

CoRR, 2024

2021

Universal adversarial perturbations against object detection.

Debang Li, Junge Zhang, Kaiqi Huang

Pattern Recognit., 2021

2020

Learning to Learn Cropping Models for Different Aspect Ratio Requirements.

Debang Li, Junge Zhang, Kaiqi Huang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Composing Good Shots by Exploiting Mutual Relations.

Debang Li, Junge Zhang, Kaiqi Huang, Ming-Hsuan Yang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Fast A3RL: Aesthetics-Aware Adversarial Reinforcement Learning for Image Cropping.

Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang

IEEE Trans. Image Process., 2019

2018

A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping.

Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

A2-RL: Aesthetics Aware Reinforcement Learning for Automatic Image Cropping.

Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang

CoRR, 2017