Implicit neural representation (INR) has achieved remarkable progress in novel view synthesis and image/video coding in recent years.Compared to conventional end-to-end image codecs, INR-based compressors demonstrate significant advantages in decoding complexity. However, their practical application has been hindered b...
Xiang Liu, Jin-Xiang Wang, Bin Chen et al.· 0 citations
A forgery detection method based on block artifact grid (BAG) optimization and lightweight graph neural network (GNN) is proposed to address the problems in JPEG image copy-paste forgery detection, such as insufficient robustness to compression interference in existing methods, difficulty in balancing lightweight and d...
This work designs Progressive State Sequence Generation (PSSG) to construct complementary spatial-frequency target states (defining what to recover), and State Transition Evolution (STE) to adapt lightweight transition operators via a restoration-oriented TTT inner loop (determining how the features should evolve).
Kai-Han Zheng, Jun Li, Hang Guo et al.· 0 citations
Large language models (LLMs) have achieved remarkable breakthroughs across various applications. However, their architectures remain inefficient in pretraining due to two main limitations: (i) self-attention lacks an explicit inductive bias for locality, leading to redundant modeling of sequence-internal local informat...
Qiuwu Chen, Zi-Mo Liu, Yuchen Li et al.· 0 citations
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