Generative AI & Image Restoration

Variable-Rate Transformer-CNN Hybrid Adaptive Image Compression

A variable compression-rate framework that fuses Transformer and CNN features for adaptive image compression, balancing bit-rate and reconstruction quality within a single model. (M.S. thesis, 2025)

Structure-Guided Image Restoration with NSVQ-VQVAE and KSVD-like Codebook

A structure-guided image restoration scheme combining an NSVQ-VQVAE with a KSVD-like codebook recovery mechanism to reconstruct fine image details. (M.S. thesis, 2025)

StripWinformer: Locally-Enhanced Transformer for Image Motion Deblurring

Single image motion deblurring is a critical low-level computer vision task, aiming to restore clear and sharp images from motion-corrupted counterparts. Traditional image motion deblurring methods often face challenges in handling complex motion patterns and preserving fine details. Inspired by the success of vision transformer models in various tasks, we propose an innovative framework.....

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