Nerv: Generate a Complete 3D Scene Under Arbitrary Lighting Conditions from a Set of Input Images

  • by

This new method is able to generate a complete 3-dimensional scene and has the ability to decide the lighting of the scene. All this with very limited computation costs and amazing results compared to previous approaches.

Watch a video demo: https://youtu.be/ZkaTyBvS2w4

Read a short article: https://medium.com/what-is-artificial-intelligence/generate-a-complete-3d-scene-under-arbitrary-lighting-conditions-from-a-set-of-input-images-9d2fbce63243

The paper (& code soon): https://people.eecs.berkeley.edu/~pratul/nerv/

Reference: P. P. Srinivasan, B. Deng, X. Zhang, M. Tancik, B. Mildenhall, and J. T. Barron, “Nerv: Neural reflectance and visibility fields for relighting and view synthesis,” in arXiv, 2020.

submitted by /u/OnlyProggingForFun
[link] [comments]

Leave a Reply

Your email address will not be published. Required fields are marked *