Here’s an interesting technique which may provide new ways in which to generate and synthesize textures from examples via interpolation and style transfer. Recently, enthusiastic studies have devoted to texture synthesis using deep neural networks, because these networks excel at handling complex patterns in images. In these models, second-order statistics, such as Gram matrix, are…Read More
Tag: textures
New kids on the block
Over the last few months we’ve seen two new companies formed around the concept of providing tools based on deep learning for visual effects. The positive responses they’ve received so far already along with the multitude of opportunities in the field are sure to mean that they will be the first of many. Kognat aims…Read More
High-Fidelity Facial Reflectance and Geometry Inference From an Unconstrained Image
We present a deep learning-based technique to infer high-quality facial reflectance and geometry given a single unconstrained image of the sub- ject, which may contain partial occlusions and arbitrary illumination conditions. The reconstructed high-resolution textures, which are generated in only a few seconds, include high-resolution skin surface reflectance maps, representing both the diffuse and specular…Read More
Learning Category-Specific Mesh Reconstruction from Image Collections
Some truly remarkable results given the dataset from which this model was trained. Code on github will be available in the future. We present a learning framework for recovering the 3D shape, camera, and texture of an object from a single image. The shape is represented as a deformable 3D mesh model of an object…Read More
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Gatys et al. recently demonstrated that deep networks can generate beautiful textures and stylized images from a single texture example. However, their methods requires a slow and memory-consuming optimization process. We propose here an alternative approach that moves the computational burden to a learning stage. Given a single example of a texture, our approach trains…Read More