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View Code? Open in Web Editor NEW[CVPR 2024 (Highlight)] Unifying Correspondence, Pose and NeRF for Generalized Pose-Free Novel View Synthesis from Stereo Pairs
Home Page: https://ku-cvlab.github.io/CoPoNeRF/
[CVPR 2024 (Highlight)] Unifying Correspondence, Pose and NeRF for Generalized Pose-Free Novel View Synthesis from Stereo Pairs
Home Page: https://ku-cvlab.github.io/CoPoNeRF/
Hi, Thanks for the interesting work.
I'm trying to follow your work but found that the Realestate10k could not be downloaded.
I run the date download code but found that all the cases are failed and added into the failed list. May I check if there are any other steps to use the download code or any other way to get the dataset?
Thank you very much.
Hi,
I am writing about an issue that is not relevant to this paper. GeCoNeRF (ICML'23) is another paper from your research group.
We need to compare with GeCoNeRF. However, there are some files that are lost. Also, GeCoNeRF closes the issue functionality due to some unknown reasons. We tried to reach out to the authors but got no responses.
I am writing to kindly ask your advisor to help us contact the first two authors to reproduce GeCoNeRF's results.
Thank you, and we appreciate your help.
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