2 citations · 4 across the 6 of their papers we have counts for
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Binarized High-Efficiency RAW Video Restoration and Beyond
Tianyu Zhu, Ying Fu, Hesong Li +3
RAW video restoration is fundamental to high-quality low-level perception and serves as the basis for a wide range of downstream vision applications. While binary neural networks (…
Diff-ES: Stage-wise Structural Diffusion Pruning via Evolutionary Search
Zongfang Liu, Shengkun Tang, Zongliang Wu +2
Diffusion models have achieved remarkable success in high-fidelity image generation but remain computationally demanding due to their multi-step denoising process and large model s…
InverseNet: Benchmarking Operator Mismatch and Calibration Across Compressive Imaging Modalities
Chengshuai Yang, Xin Yuan
State-of-the-art EfficientSCI loses 20.58 dB when its assumed forward operator deviates from physical reality in just eight parameters, yet no existing benchmark quantifies operato…
Realism Control One-step Diffusion for Real-World Image Super-Resolution
Zongliang Wu, Siming Zheng, Peng-Tao Jiang +1
Pre-trained diffusion models have shown great potential in real-world image super-resolution (Real-ISR) tasks by enabling high-resolution reconstructions. While one-step diffusion…
Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging
Mengjie Qin, Yuchao Feng, Zongliang Wu +2
In the coded aperture snapshot spectral imaging system, Deep Unfolding Networks (DUNs) have made impressive progress in recovering 3D hyperspectral images (HSIs) from a single 2D m…
Binarized Low-light Raw Video Enhancement
Gengchen Zhang, Yulun Zhang, Xin Yuan +1
Recently, deep neural networks have achieved excellent performance on low-light raw video enhancement. However, they often come with high computational complexity and large memory…