ππΌοΈπ New Research Alert - CVPR 2024! ππΌοΈπ π Title: CAMixerSR: Only Details Need More "Attention" ππ
π Description: CAMixerSR is a new approach integrating content-aware accelerating framework and token mixer design, to pursue more efficient SR inference via assigning convolution for simple regions but window-attention for complex textures. It exhibits excellent generality and attains competitive results among state-of-the-art models with better complexity-performance trade-offs on large-image SR, lightweight SR, and omnidirectional-image SR.
π₯ Authors: Yan Wang, Shijie Zhao, Yi Liu, Junlin Li, and Li Zhang
π Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA πΊπΈ