Publications (7)
RFSR: Improving ISR Diffusion Models via Reward Feedback Learning
Xiaopeng Sun, Qinwei Lin, Yu Gao +6
Generative diffusion models (DM) have been extensively utilized in image super-resolution (ISR). Most of the existing methods adopt the denoising loss from DDPMs for model optimiza…
CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient Object Detection
Runmin Cong, Qinwei Lin, Chen Zhang +4
Focusing on the issue of how to effectively capture and utilize cross-modality information in RGB-D salient object detection (SOD) task, we present a convolutional neural network (…
Measuring Decentralization in Bitcoin and Ethereum using Multiple Metrics and Granularities
Qinwei Lin, Chao Li, Xifeng Zhao +1
Decentralization has been widely acknowledged as a core virtue of blockchains. However, in the past, there have been few measurement studies on measuring and comparing the actual l…
TASR: Timestep-Aware Diffusion Model for Image Super-Resolution
Qinwei Lin, Xiaopeng Sun, Yu Gao +4
Diffusion models have recently achieved outstanding results in the field of image super-resolution. These methods typically inject low-resolution (LR) images via ControlNet.In this…
Animatable 3D Gaussian: Fast and High-Quality Reconstruction of Multiple Human Avatars
Yang Liu, Xiang Huang, Minghan Qin +2
Neural radiance fields are capable of reconstructing high-quality drivable human avatars but are expensive to train and render and not suitable for multi-human scenes with complex…
Monocular Gaussian SLAM with Language Extended Loop Closure
Tian Lan, Qinwei Lin, Haoqian Wang
Recently,3DGaussianSplattinghasshowngreatpotentialin visual Simultaneous Localization And Mapping (SLAM). Existing methods have achieved encouraging results on RGB-D SLAM, but stud…
Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection
Chen Zhang, Runmin Cong, Qinwei Lin +4
The popularity and promotion of depth maps have brought new vigor and vitality into salient object detection (SOD), and a mass of RGB-D SOD algorithms have been proposed, mainly co…