ProxImaL: Efficient Image Optimization using Proximal Algorithms
Matthias Nießner THIS PAGE IS NO LONGER MAINTAINED! You will be automatically forwarded to www.niessnerlab.org Abstract Computational photography systems are becoming increasingly diverse while computational resources, for example on mobile platforms, are rapidly increasing. As diverse as these camera systems may be, slightly different variants of the underlying image processing tasks, such as dem
Real-time 3D Reconstruction at Scale using Voxel Hashing
1 Technical University of Munich 2 Max Planck Institute for Informatics 3 Microsoft Research 4 University of Erlangen-Nuremberg Abstract Online 3D reconstruction is gaining newfound interest due to the availability of real-time consumer depth cameras. The basic problem takes live overlapping depth maps as input and incrementally fuses these into a single 3D model. This is challenging particularly
Efficient GPU Rendering of Subdivision Surfaces using Adaptive Quadtrees
Abstract We present a novel method for real-time rendering of subdivision surfaces whose goal is to make subdivision faces as easy to render as triangles, points, or lines. Our approach uses the GPU tessellation hardware and processes each face of a base mesh independently and in a streaming fashion, thus allowing an entire model to be rendered in a single pass. The key idea of our method is to su
Face2Face: Real-time Face Capture and Reenactment of RGB Videos
1 Technical University of Munich 2 Max Planck Institute for Informatics 3 University of Erlangen-Nuremberg Abstract We present a novel approach for real-time facial reenactment of a monocular target video sequence (e.g., Youtube video). The source sequence is also a monocular video stream, captured live with a commodity webcam. Our goal is to animate the facial expressions of the target video by a
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
