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

Novel view synthesis from a single image has recently attracted a lot ofattention, and it has been primarily advanced by 3D deep learning and renderingtechniques. However, most work is still limited by synthesizing new viewswithin relatively small camera motions. In this paper, we propose a novelapproach to synthesize a consistent long-term video given a single scene imageand a trajectory of large camera motions. Our approach utilizes anautoregressive Transformer to perform sequential modeling of multiple frames,which reasons the relations between multiple frames and the correspondingcameras to predict the next frame. To facilitate learning and ensureconsistency among generated frames, we introduce a locality constraint based onthe input cameras to guide self-attention among a large number of patchesacross space and time. Our method outperforms state-of-the-art view synthesisapproaches by a large margin, especially when synthesizing long-term future inindoor 3D scenes. Project page at https://xrenaa.github.io/look-outside-room/.

Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image