


CVPR 2024 high-scoring paper: New generative editing framework GenN2N, unifying NeRF conversion tasks
#The AIxiv column of our website is a column about academic and technical content. In the past few years, the AIxiv column on our website has received more than 2,000 pieces of content, covering top laboratories from major universities and companies around the world, helping to promote academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. The submission email address is liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com.

Paper address: https://arxiv.org/abs/2404.02788 Paper homepage: https://xiangyueliu.github.io/GenN2N/ -
Github address: https://github.com/Lxiangyue/GenN2N Paper title: GenN2N: Generative NeRF2NeRF Translation
(positive sample) in the training data, we select an edited picture of the same perspective from the training data Picture
is used as a condition, which prevents the discriminator from being interfered by perspective factors when distinguishing positive and negative samples.
B.NeRF coloring
C.NeRF Super Resolution
D.NeRF Repair
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