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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 / world model generation, especially in physical-AI generation domain.
Please feel free to drop me an (email) if you have any questions.
Email /
Scholar
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News
[2026-02] WorldLens has been accept to CVPR 2026.
[2025-08] We release 4DNeX.
[2025-08] We release Hi3DEval. [2025-09] Hi3DEval has been accept to NeurIPS D&B 2025.
[2025-03] 1 paper accepted to TDSC 2025.
[2025-01] We release Vchitect 2.0.
[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.
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WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World
WorldLens Team,
CVPR, 2026
project page & code
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arXiv
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4DNeX: Feed-Forward 4D Generative Modeling Made Easy
Zhaoxi Chen*,
Tianqi Liu*,
Long Zhuo*,
Jiawei Ren,
Zeng Tao,
He Zhu,
Fangzhou Hong,
Liang Pan,
Ziwei Liu
arXiv, 2025
project page & code & dataset
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arXiv
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Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity
Yuhan Zhang*,
Long Zhuo*,
Ziyang Chu*,
Tong Wu,
Zhibing Li,
Liang Pan,
Dahua Lin,
Ziwei Liu
NeurIPS D&B Track, 2025
project page & code
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arXiv
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Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models
Vchitect Team,
arXiv, 2025
project page & code
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arXiv
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Fast-Vid2Vid++: Spatial-Temporal Distillation for Real-Time Video-to-Video Synthesis
Long Zhuo,
Guangcong Wang,
Shikai Li,
Wayne Wu,
Ziwei Liu
TPAMI, 2024
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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 & code
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video
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arXiv
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Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
Long Zhuo,
Guangcong Wang,
Shikai Li,
Wayne Wu,
Ziwei Liu
ECCV, 2022
project page & code
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video
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arXiv
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Evading Detection Actively: Toward Anti-Forensics against Forgery Localization
Long Zhuo,
Shenghai Luo,
Shunquan Tan,
Han Chen,
Bin Li,
Jiwu Huang
TDSC , 2025
arXiv / code
It explores a new problem of anti-forensics against forgery localization and proposes a pratical method to address this issue.
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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 / code
A novel framework and training scheme for forgery localization.
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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.
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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
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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
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