Ni, Zanlin

9 publications

ICCV 2025 CODA: Repurposing Continuous VAEs for Discrete Tokenization Zeyu Liu, Zanlin Ni, Yeguo Hua, Xin Deng, Xiao Ma, Cheng Zhong, Gao Huang

CVPR 2025 Everything to the Synthetic: Diffusion-Driven Test-Time Adaptation via Synthetic-Domain Alignment Jiayi Guo, Junhao Zhao, Chaoqun Du, Yulin Wang, Chunjiang Ge, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang

ECCV 2024 AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang

NeurIPS 2024 ENAT: Rethinking Spatial-Temporal Interactions in Token-Based Image Synthesis Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang

ECCV 2024 LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images Zonghao Guo, Ruyi Xu, Yuan Yao, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Gao Huang

CVPR 2024 Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang

CVPR 2024 Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models Jiayi Guo, Xingqian Xu, Yifan Pu, Zanlin Ni, Chaofei Wang, Manushree Vasu, Shiji Song, Gao Huang, Humphrey Shi

ICCV 2023 Deep Incubation: Training Large Models by Divide-and-Conquering Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang

ICLR 2021 Revisiting Locally Supervised Learning: An Alternative to End-to-End Training Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang