English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We present a neural point cloud rendering pipeline through a novelmulti-frequency-aware patch adversarial learning framework. The proposedapproach aims to improve the rendering realness by minimizing the spectrumdiscrepancy between real and synthesized images, especially on thehigh-frequency localized sharpness information which causes image blurvisually. Specifically, a patch multi-discriminator scheme is proposed for theadversarial learning, which combines both spectral domain (Fourier Transformand Discrete Wavelet Transform) discriminators as well as the spatial (RGB)domain discriminator to force the generator to capture global and localspectral distributions of the real images. The proposed multi-discriminatorscheme not only helps to improve rendering realness, but also enhance theconvergence speed and stability of adversarial learning. Moreover, we introducea noise-resistant voxelisation approach by utilizing both the appearancedistance and spatial distance to exclude the spatial outlier points caused bydepth noise. Our entire architecture is fully differentiable and can be learnedin an end-to-end fashion. Extensive experiments show that our method producesstate-of-the-art results for neural point cloud rendering by a significantmargin. Our source code will be made public at a later date.

Multi-Frequency-Aware Patch Adversarial Learning for Neural Point Cloud Rendering