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FreeTransformSR: Efficient Lightweight Image Super-Resolution via Free Low-Rank Learnable Transform

arXiv · AI, language, vision and robotics · article · Sep 5, 2026 · UTC

Single image super-resolution aims to reconstruct high-resolution images from low-resolution inputs. This paper proposes FreeTransformSR, a novel lightweight super-resolution network based on a channel-wise free low-rank learnable transform. The transform learns task-adaptive basis functions in a data-driven manner, enabling adaptive feature modulation with minimal parameter overhead. To further enhance high-frequency detail recovery, we introduce a local feature modulation branch that complements transform-domain processing with depthwise convolution. In addition, a soft complexity adaptive m

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