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- A Low Light Image Enhancement Method Based on Dehazing Physical Model54
Results indicate that the proposed algorithm not only effectively enhances image contrast and brightness but also outperforms traditional methods in terms of subjective and objective evaluation metrics.
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- DeepDecompose: A Distributed inference framework for CNN on GPU-equipped Edge Clusters2
Deployed on Nvidia Jetson Nano, a GPU-equipped IoT device, DeepDecompose divides CNN models into smaller sub-models for independent inference, resulting in up to 2x faster performance compared to single-GPU computation.
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- HiDRNet: Hiding image with Deep Reversible Network1
An image hiding method based on a reversible and a scoring network that uses gradient computation to improve the network training process and to achieve higher embedding capacity, lower distortion, and higher security, outperforming existing network architectures is proposed.
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- Image-Conditioned 3D Content Creation Based on 2D Diffusion–
This work designs the view-conditioned latent diffusion model which takes in a monocular image along with camera extrinsic to generate multi-view images and adopts the marching cube algorithm on the learned density field to produce the geometric model.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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