A recent post demonstrated a data-driven system for indoor scene synthesis. This work is motivated by similar but is noteworthy not only for its results – which allows for repeated inclusion of a given type of object and interpolation of entire scenes – but also the rigorous analysis of their approach which is bound to…Read More
Month: September 2018
Deep Learning Advances on Different 3D Data Representations: A Survey
Much of the attention surrounding deep learning and its impact on visual effects has focused on image-based techniques, in particular the compelling examples produced by denoising, segmentation, and generative adversarial models. Research continues, however, into application of machine learning to 3D data – meshes, point clouds, voxel grids, and so on – and how to…Read More
Temporally Coherent Video Harmonization Using Adversarial Networks
A over B plus magic equals…..? Compositing is one of the most important editing operations for images and videos. The process of improving the realism of composite results is often called harmonization. Previous approaches for harmonization mainly focus on images. In this work, we take one step further to attack the problem of video harmonization….Read More
Geometric Image Synthesis
A fantastic proof-of-concept for using a normal pass, a depth pass, an alpha channel, and a material ID pass to generate a plausible image! The task of generating natural images from 3D scenes has been a long standing goal in computer graphics. On the other hand, recent developments in deep neural networks allow for trainable…Read More