TiTok is a 1-dimensional (1D) image tokenization framework that “breaks grid constraints existing in 2D tokenization methods,” leading to more flexible and compact images. “As a result ...

A compact formulation is provided to tokenize an image into a 1D latent sequence. The proposed method can represent an image with 8 to 64 times fewer tokens than the commonly used 2D tokenizers.

One more top image processing library in Python is Mahotas, which was originally designed for bioimage informatics. Mahotas enables developers to take advantage of advanced features like local binary ...

@article{kirchmeyer2023convolutional, title={Convolutional Networks with Oriented 1D Kernels}, author={Kirchmeyer, Alexandre and Deng, Jia}, journal={Proceedings of the IEEE/CVF International ...

The deep learning program then generates a depth map, converting the 2D image into 3D. The app also includes built-in sharing options. Facebook’s 3D support allows the shared 3D photo to respond ...

This paper presents a time-efficient preprocessing framework that converts any given 1D physiological signal recordings into a 2D image representation for training image-based deep learning models.

Otherwise if you called the function find_barcodes you will received a python list of ibex_1d.Result instances, this class store info about the execution (like execution status, message, debug steps) ...

Compared with a RGB images, the mapping between the low-high HSI pairs is more difficult since much more spectral bands are involved. In this paper, a novel dual 1D-2D spatial-spectral convolutional ...