TensorFlow implementation for RGB-D-Fusion. For details, see the paper RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects. We reccomend using a docker environment. We provide a ...
Abstract: Underwater imaging technology has been confronted with the challenge in computation, storage and transmission. Compressive sensing with advantage in reducing data redundancy is widely used ...
The underwater images often suffer from color deviations and blurred details. To address these issues, many methods employ networks with an encoder/decoder structure to enhance the images. However, ...
Abstract: With the rapid development of single-photon LiDAR, accurate depth recovery remains a key challenge. Conventional deep learning methods, such as CNNs and ViTs, leverage convolution and ...
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