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DmitryRyuminΒ 
posted an update Mar 10
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πŸš€πŸ–ΌοΈπŸŒŸ New Research Alert - CVPR 2024! πŸŒŸπŸ–ΌοΈπŸš€
πŸ“„ Title: CAMixerSR: Only Details Need More "Attention" πŸŒŸπŸš€

πŸ“ 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.

πŸ‘₯ Authors: Yan Wang, Shijie Zhao, Yi Liu, Junlin Li, and Li Zhang

πŸ“… Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA πŸ‡ΊπŸ‡Έ

πŸ”— Paper: CAMixerSR: Only Details Need More "Attention" (2402.19289)

πŸ”— Repository: https://github.com/icandle/CAMixerSR

πŸ“š More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin

πŸš€ Added to the Image Enhancement Collection: DmitryRyumin/image-enhancement-65ee1cd2fe1c0c877ae55d28

πŸ” Keywords: #CAMixerSR #SuperResolution #WindowAttention #ImageEnhancement #CVPR2024 #DeepLearning #Innovation
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