Multi-image super-resolution (MISR) allows to increase the spatial resolution
of a low-resolution (LR) acquisition by combining multiple images carrying
complementary information in the form of sub-pixel offsets in the scene
sampling, and can be significantly more effective than its single-image
counterpart. Its main difficulty lies in accurately registering and fusing the
multi-image information. Currently studied settings, such as burst photography,
typically involve assumptions of small geometric disparity between the LR
images and rely on optical flow for image registration. We study a MISR method
that can increase the resolution of sets of images acquired with arbitrary, and
potentially wildly different, camera positions and orientations, generalizing
the currently studied MISR settings. Our proposed model, called EpiMISR, moves
away from optical flow and explicitly uses the epipolar geometry of the
acquisition process, together with transformer-based processing of radiance
feature fields to substantially improve over state-of-the-art MISR methods in
presence of large disparities in the LR images.

多图像超分辨率 (MISR) 方法以子像素偏移的形式结合多张图像中的互补信息来提高低分辨率 (LR) 图像的空间分辨率，在准确注册和融合多图像信息方面存在困难。本研究提出的 EpiMISR 模型通过使用采集过程的极线几何以及基于 Transformer 的辐射特征场进行处理，在存在大的 LR 图像视差的情况下明显改进了目前最先进的 MISR 方法。