Results on DTU datasets

[Tao-11-chen]

Hello, thanks very much for sharing your amazing work. I'm trying to reproduce the DTU Cross-Generalization Test.

I followed all the data preparation instructions in the REAMDE including using convert_dtu.py and used this command to generate the final results:

python -m src.main +experiment=dtu checkpointing.load=checkpoints/re10k.ckpt mode=test dataset/view_sampler=evaluation dataset.view_sampler.index_path=assets/evaluation_index_dtu_nctx2.json dataset.view_sampler.num_context_views=2 test.compute_scores=true

However, some of the results looks noisy like the images below and the final average PSNR is 13.91, I wonder if there is something wrong with my testing procedure or if it is working normally.

Thanks in advance.

Sincerely