K
Kara-Ali Aliev
Researcher at Samsung
Publications - 4
Citations - 382
Kara-Ali Aliev is an academic researcher from Samsung. The author has contributed to research in topics: Rendering (computer graphics) & Deep learning. The author has an hindex of 4, co-authored 4 publications receiving 224 citations.
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Neural Point-Based Graphics
TL;DR: In this article, a deep rendering network is learned in parallel with the descriptors, so that new views of the scene can be obtained by passing the rasterizations of a point cloud from new viewpoints through this network.
Proceedings ArticleDOI
Textured Neural Avatars
Aliaksandra Shysheya,Dmitry Ulyanov,Alexander Vakhitov,Victor Lempitsky,Egor Zakharov,Kara-Ali Aliev,Renat Bashirov,Egor Burkov,Karim Iskakov,Aleksei Ivakhnenko,Yury Malkov,Igor Pasechnik +11 more
TL;DR: In this article, a fully-convolutional network is used to directly map the configuration of body feature points w.r.t. the camera to the 2D texture coordinates of individual pixels in the image frame.
Book ChapterDOI
Neural Point-Based Graphics
TL;DR: This work presents a new point-based approach for modeling the appearance of real scenes that uses a raw point cloud as the geometric representation of a scene, and augments each point with a learnable neural descriptor that encodes local geometry and appearance.
Posted Content
Textured Neural Avatars.
Aliaksandra Shysheya,Egor Zakharov,Kara-Ali Aliev,Renat Bashirov,Egor Burkov,Karim Iskakov,Aleksei Ivakhnenko,Yury Malkov,Igor Pasechnik,Dmitry Ulyanov,Alexander Vakhitov,Victor Lempitsky +11 more
TL;DR: A system for learning full body neural avatars, i.e. deep networks that produce full body renderings of a person for varying body pose and varying camera pose, that is capable of learning to generate realistic renderings while being trained on videos annotated with 3D poses and foreground masks is presented.