Khronos Blog Archives

There is a wide range of open-source deep learning training networks available today offering researchers and designers plenty of choice when they are setting up their project. Caffe, Tensorflow, Chainer, Theano, Caffe2, the list goes on and is getting longer all the time. This diversity is great for encouraging innovation, as the different approaches taken by the various frameworks make it possible to access a very wide range of capabilities, and, of course, to add functionality that’s then given back to the community. This helps to drive the virtuous cycle of innovation.

As part of the ongoing work to ensure glTF meets the needs of the developer community the Khronos™ 3D Formats working group is working on a new glTF compression extension to greatly improve transmission efficiency of texture assets while providing efficient, cross-platform transcoding into a wide range of GPU hardware-accelerated texture formats.