Fictionarry / DNGaussian

[CVPR'24] DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization
https://fictionarry.github.io/DNGaussian/
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How to use my own image data for inference? #39

Open douglas0406 opened 1 month ago

douglas0406 commented 1 month ago

Your work is truly impressive! I would greatly appreciate it if you could provide some guidance on how to use my own image data for inference within your framework. I have been attempting to work with my images but could use some help in setting it up correctly. Thank you so much for your assistance!

Fictionarry commented 1 month ago

HI, we first use COLMAP to estimate the camera poses from the provided images, and then run our method. You can fully refer to the DTU pre-processing to handle your own dataset and then start training following the provided scripts. For recommendation, you can first try to use MVS initialization and run following run_llff_mvs.sh, which brings better performance in many cases but may fail in some also.