Hai Jiang

21 papers A* 5Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
RAW-Flow: Advancing RGB-to-RAW Image Reconstruction with Deterministic Latent Flow Matching.
AAAI
Zhen Liu, Diedong Feng, Hai Jiang, Liaoyuan Zeng, Hao Wang, Chaoyu Feng, Lei Lei, Bing Zeng, Shuaicheng Liu
2026 J jnl
RAW-Flow: Advancing RGB-to-RAW Image Reconstruction with Deterministic Latent Flow Matching.
CoRR
Zhen Liu, Diedong Feng, Hai Jiang, Liaoyuan Zeng, Hao Wang, Chaoyu Feng, Lei Lei, Bing Zeng, Shuaicheng Liu
2026 J jnl
Solving ILL-posed Regions in High Dynamic Range Reconstruction With Uncertainty-Aware Diffusion Models.
IEEE Trans. Circuits Syst. Video Technol.
Zhen Liu, Hai Jiang, Haipeng Li, Shuaicheng Liu, Bing Zeng
2025 A* conf
ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency.
AAAI
Yang Ren, Hai Jiang, Menglong Yang, Wei Li, Shuaicheng Liu
2025 J jnl
ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency.
CoRR
Yang Ren, Hai Jiang, Menglong Yang, Wei Li, Shuaicheng Liu
2025 J jnl
ISPFormer: Learning RAW-to-sRGB mappings with wavelet-based self-attention.
Neurocomputing
Yang Ren, Xinhan Niu, Hai Jiang, Zhen Liu, Ting Jiang, Guanghui Liu, Shuaicheng Liu
2025 J jnl
Incorporating Fourier Transformation With Diffusion Models for Low-Light Image Enhancement.
IEEE Signal Process. Lett.
Ailin Ma, Hai Jiang, Binbin Liang, Songchen Han
2025 A* conf
Learning Arbitrary-Scale RAW Image Downscaling with Wavelet-based Recurrent Reconstruction.
ACM Multimedia
Yang Ren, Hai Jiang, Wei Li, Menglong Yang, Heng Zhang, Zehua Sheng, Qingsheng Ye, Shuaicheng Liu
2025 J jnl
Learning Arbitrary-Scale RAW Image Downscaling with Wavelet-based Recurrent Reconstruction.
CoRR
Yang Ren, Hai Jiang, Wei Li, Menglong Yang, Heng Zhang, Zehua Sheng, Qingsheng Ye, Shuaicheng Liu
2025 J jnl
Learning to See in the Extremely Dark.
CoRR
Hai Jiang, Binhao Guan, Zhen Liu, Xiaohong Liu, Jian Yu, Zheng Liu, Songchen Han, Shuaicheng Liu
2025 J jnl
StableMotion: Repurposing Diffusion-Based Image Priors for Motion Estimation.
CoRR
Ziyi Wang, Haipeng Li, Lin Sui, Tianhao Zhou, Hai Jiang, Lang Nie, Shuaicheng Liu
2024 J jnl
DMHomo: Learning Homography with Diffusion Models.
ACM Trans. Graph.
Haipeng Li, Hai Jiang, Ao Luo, Ping Tan, Haoqiang Fan, Bing Zeng, Shuaicheng Liu
2024 — conf
LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models.
ECCV (48)
Hai Jiang, Ao Luo, Xiaohong Liu, Songchen Han, Shuaicheng Liu
2024 J jnl
LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models.
CoRR
Hai Jiang, Ao Luo, Xiaohong Liu, Songchen Han, Shuaicheng Liu
2023 J jnl
Low-Light Image Enhancement with Wavelet-Based Diffusion Models.
ACM Trans. Graph.
Hai Jiang, Ao Luo, Haoqiang Fan, Songchen Han, Shuaicheng Liu
2023 J jnl
Low-Light Image Enhancement with Wavelet-based Diffusion Models.
CoRR
Hai Jiang, Ao Luo, Songchen Han, Haoqiang Fan, Shuaicheng Liu
2023 A* conf
Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint.
AAAI
Hai Jiang, Haipeng Li, Yuhang Lu, Songchen Han, Shuaicheng Liu
2023 A* conf
Supervised Homography Learning with Realistic Dataset Generation.
ICCV
Hai Jiang, Haipeng Li, Songchen Han, Haoqiang Fan, Bing Zeng, Shuaicheng Liu
2023 J jnl
Supervised Homography Learning with Realistic Dataset Generation.
CoRR
Hai Jiang, Haipeng Li, Songchen Han, Haoqiang Fan, Bing Zeng, Shuaicheng Liu
2023 J jnl
Unsupervised Global and Local Homography Estimation With Motion Basis Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuaicheng Liu, Yuhang Lu, Hai Jiang, Nianjin Ye, Chuan Wang, Bing Zeng
2022 J jnl
Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraint.
CoRR
Hai Jiang, Haipeng Li, Yuhang Lu, Songchen Han, Shuaicheng Liu