LSR: A Light-Weight Super-Resolution Method

GB-LSR：一种具有单一全局带宽的快速局部光谱图像表示，用于连续重建和超分辨率

GB-LSR: Local Spectral Decoding with a Learned Global Bandwidth for Arbitrary-Scale Super-Resolution

提出GB-LSR，一种基于全局带宽的局部光谱表示，通过共享卷积编码器预测截断傅里叶基系数，实现连续图像重建，在Kodak等基准上PSNR提升2.8-3.6 dB，推理速度比最慢基线快约4倍。

Image Super-Resolution using Efficient Striped Window Transformer

Transformers have achieved remarkable results in single-image super-resolution (SR). However, the challenge of balancing model performance and complexity has hindered their application in lightweight SR (LSR). To tackle this challenge, we propose an efficient striped window transformer (ESWT). We revisit the normalization layer in the transformer and design a concise and efficient transformer structure to build the ESWT. Furthermore, we introduce a striped window mechanism to model long-term dependencies more efficiently. To fully exploit the potential of the ESWT, we propose a novel flexible …

Label Super Resolution with Inter-Instance Loss

For the task of semantic segmentation, high-resolution (pixel-level) ground truth is very expensive to collect, especially for high resolution images such as gigapixel pathology images. On the other hand, collecting low resolution labels (labels for a block of pixels) for these high resolution images is much more cost efficient. Conventional methods trained on these low-resolution labels are only capable of giving low-resolution predictions. The existing state-of-the-art label super resolution (LSR) method is capable of predicting high resolution labels, using only low-resolution supervision, …

H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System

High-speed, high-resolution stereoscopic (H2-Stereo) video allows us to perceive dynamic 3D content at fine granularity. The acquisition of H2-Stereo video, however, remains challenging with commodity cameras. Existing spatial super-resolution or temporal frame interpolation methods provide compromised solutions that lack temporal or spatial details, respectively. To alleviate this problem, we propose a dual camera system, in which one camera captures high-spatial-resolution low-frame-rate (HSR-LFR) videos with rich spatial details, and the other captures low-spatial-resolution high-frame-rate…

解耦跨模态流形差异：利用可见光扩散先验实现红外超分辨率

Decoupling Cross-Modality Manifold Discrepancy: Leveraging Visible Diffusion Priors for Infrared Super-Resolution

针对红外图像超分辨率问题，提出双路径基于扩散的Shift-IISR框架，通过开发GRM模块提取特定模态信息、引入LSR模块关注结构信息，有效提高了分布和结构一致性，保持了超分辨率性能。

可解释的无监督变形图像配准：通过置信度界限多跳视觉推理

Interpretable Unsupervised Deformable Image Registration via Confidence-bound Multi-Hop Visual Reasoning

本文提出了一种基于多跳视觉推理的可解释无监督变形图像配准框架，通过局部空间细化和跨参考注意力机制，实现高精度且透明的医学图像配准。