CONVFORMER: AN EFFICIENT APPROACH FOR IMAGE SUPER-RESOLUTION

Summary from the TLDR AI newsletter

This paper Introduces ConvFormer, a novel Convolutional Transformer layer designed for lightweight image super-resolution tasks. This new technique effectively replaces self-attention modules with large kernel convolutions, allowing for efficient modeling of long-range dependencies with minimal computational costs.