DepthTCM: High Efficient Depth Compression via Physics-aware Transformer-CNN Mixed Architecture

ArXi:2603.21233v1 Announce Type: new We propose DepthTCM, a physics-aware end-to-end framework for depth map compression. In our framework of DepthTCM, the high-bit depth map is first converted to a conventional 3-channel image representation losslessly using a method inspired by a physical sinusoidal fringe pattern based profiliometry system, then the 3-channel color image is encoded and decoded by a recently developed Transformer-CNN mixed neural network architecture.