The method employs a lightweight UNet architecture based on depthwise separable convolutions, substantially reducing the parameter count while decreasing inference steps from 1000 to 20 through a fast sampling strategy, exhibiting excellent quality-efficiency trade-offs.
Both numerical results and visual evaluations confirm that the proposed framework provides a balanced solution for preserving structural details while maintaining perceptual realism in image inpainting applications.
Simge Coşkun, A. Işık· Brain: Broad Research in Art...· 0 citations
This work proposes a new GAN-based face hallucination method primarily based on the Enhanced Super-Resolution Generative Adversarial Network (ESRGAN), and presents a personalised adaptation of ESRGAN that employs the VGG16 architecture with a compact pre-trained version.
Sheetal S. Patil, A. Pawar, Nilofar Mulla et al.· International Journal of Eng...· 0 citations
This work proposes SLRNet, Super Lightweight Residual Network, a high efficient-yet-effective end-to-end dehazing architecture that integrates a novel Adaptive Feature Unit that automatically adjusts channel-wise features through a lightweight gating mechanism, coupled with compact residual blocks to preserve critical...
Guanheng Qu· Poster Volume 0007 The 2026...· 0 citations
High-Compression videos suffer from severe distortions, among which degradation in person regions has the greatest impact on viewers’ immersive experience. Existing quality enhancement techniques usually focus on overall image denoising or super-resolution, often overlooking the crucial recovery of fine structures in t...
Lin-Yun Liu, Li Yu, Jia-Xin Zeng et al.· IEEE Signal Processing Lette...· 0 citations
With the development of cloud gaming and esports live streaming, high-fidelity transmission of critical game footage under low bandwidth has become a significant challenge. Traditional JPEG compression is prone to distortion, making it difficult to meet the image quality and fairness requirements of esports scenarios....
This work validates the design effectiveness of decoupling global and local representations within a frozen backbone, and establishes a new baseline for parameter-efficient enhancement.
Yan-Peng Cao, Yue Wang, Ming-Hui Liang et al.· Pattern Analysis and Applica...· 0 citations
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