Titlebook: Computer Vision – ECCV 2020; 16th European Confer Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm Conference proceedings 2020 Springer Natur

Parabola

马具

Molecular Responses to Environmental Stress, network allows the network parameters to be optimized in an unsupervised way without training data. Our results show that the proposed network can achieve state-of-the-art performance in various image fusion problems.

indubitable

FER

我吃花盘旋

兵团

Celiac-Plexus

RD-GAN: Few/Zero-Shot Chinese Character Style Transfer via Radical Decomposition and Rendering,nts: a radical extraction module (REM), radical rendering module (RRM), and multi-level discriminator (MLD). Experiments demonstrate that our method has a powerful few-shot/zero-shot generalization ability by using the radical-level compositions of Chinese characters.

清楚

Photon-Efficient 3D Imaging with A Non-local Neural Network,gnificantly surpasses the state-of-the-art. Moreover, our non-local network trained on simulated data can be well generalized to different real-world imaging systems, which could extend the application scope of photon-efficient imaging in challenging scenarios with a strict limit on optical flux. Code is available at ..

乐器演奏者

agglomerate

Shonan Rotation Averaging: Global Optimality by Surfing ,nly slightly) higher-dimensional rotation manifolds, re-using existing high-performance (but .) structure-from-motion pipelines. Our method thus preserves the speed and scalability of current SFM methods, while recovering . optimal solutions.