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

The recent advances in text and image synthesis show a great promise for thefuture of generative models in creative fields. However, a less explored areais the one of 3D model generation, with a lot of potential applications to gamedesign, video production, and physical product design. In our paper, we present3DGEN, a model that leverages the recent work on both Neural Radiance Fieldsfor object reconstruction and GAN-based image generation. We show that theproposed architecture can generate plausible meshes for objects of the samecategory as the training images and compare the resulting meshes with thestate-of-the-art baselines, leading to visible uplifts in generation quality.

3DGEN: A GAN-based approach for generating novel 3D models from image data