4 papers
Linear Recurrent Unit with Semantic Modulation for Image Super-Resolution
Mingyu Choi, Woo Kyoung Han, Sunghoon Im +1
Linear recurrent unit (LRU), designed with a principled formulation for stable linear recurrence, has demonstrated promising accuracy and robustness on long-range dependency tasks.…
Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield Perspective
Hyunmin Cho, Woo Kyoung Han, Kyong Hwan Jin
We characterize the pre-softmax attention matrix in transformers as an associative memory matrix encoding pairwise associations between input features. By decomp…
JPEG Processing Neural Operator for Backward-Compatible Coding
Woo Kyoung Han, Yongjun Lee, Byeonghun Lee +3
Despite significant advances in learning-based lossy compression algorithms, standardizing codecs remains a critical challenge. In this paper, we present the JPEG Processing Neural…
Towards Lossless Implicit Neural Representation via Bit Plane Decomposition
Woo Kyoung Han, Byeonghun Lee, Hyunmin Cho +2
We quantify the upper bound on the size of the implicit neural representation (INR) model from a digital perspective. The upper bound of the model size increases exponentially as t…