Long Zhuo

Long Zhuo is now a research engineer at Shanghai AI Lab, working closely with Dr. Liang Pan, and Prof. Ziwei Liu.

My research interests include video / 3D / 4D generation, especially human-related field.

I am now seeking for a suitable phd position (Email).


Please feel free to drop me an email if you have any questions.

Email  /  Scholar

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News

[2025-03] 1 paper accepted to TDSC 2025.

[2024-09] 1 paper (Fast Vid2Vid++) accepted to TPAMI 2024.

[2023-09] 1 paper (RenderMe-360) accepted to NeurIPS 2023 Datasets and Benchmarks Track.

[2022-07] 1 paper (Fast-Vid2Vid) acceted to ECCV 2022.

[2022-05] 1 paper acceted to TIFS.


Fast-Vid2Vid++: Spatial-Temporal Distillation for Real-Time Video-to-Video Synthesis
Long Zhuo, Guangcong Wang, Shikai Li, Wayne Wu, Ziwei Liu
TPAMI, 2024
RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
Dongwei Pan, Long Zhuo, Jingtan Piao, Huiwen Luo, Wei Cheng, Yuxin Wang, Siming Fan, Shengqi Liu, Lei Yang, Bo Dai, Ziwei Liu, Chen Qian, Wayne Wu, Dahua Lin, Kwan-Yee Lin
NeurIPS D&B Track, 2023
project page / video / arXiv

Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
Long Zhuo, Guangcong Wang, Shikai Li, Wayne Wu, Ziwei Liu
ECCV, 2022
project page / video / arXiv

Evading Detection Actively: Toward Anti-Forensics against Forgery Localization
Long Zhuo, Shenghai Luo, Shunquan Tan, Han Chen, Bin Li, Jiwu Huang
Arxit , 2023 arXiv

It explores a new problem of anti-forensics against forgery localization and proposes a pratical method to address this issue.

Self-adversarial training incorporating forgery attention for image forgery localization
Long Zhuo, Shunquan Tan, Bin Li, Jiwu Huang
IEEE Transactions on Information Forensics and Security (TIFS) , 2022 arXiv

A novel framework and training scheme for forgery localization.

ISP-GAN: inception sub-pixel deconvolution-based lightweight GANs for colorization
Long Zhuo, Shunquan Tan, Bin Li, Jiwu Huang
Multimedia Tools and Applications(MTA) , 2022 MTA

It presents a new lightweight and plug-and-play up-sampling module to alleviate checkerboard artifacts.

Fake colorized image detection with channel-wise convolution based deep-learning framework
Long Zhuo, Shunquan Tan, Bin Li, Jiwu Huang
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) , 2018
APSIPA ASC
HCF-Net: Hybrid Coarse-to-Fine Network for Forgery Reconstruction
Long Zhuo, Shunquan Tan
SSDL Workshop at the International Joint Conference on Artificial Intelligence (IJCAI w) , 2021 Workshop


This website is based on Jon Barron's homepage.