mvsnerf
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apchenstu
[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.
I have finetuned using your indications for a blender lego scene: ``` CUDA_VISIBLE_DEVICES=0 python train_mvs_nerf_finetuning_pl.py \ --dataset_name blender --datadir /path/to/nerf_synthetic/lego \ --expname lego-ft --with_rgb_loss --batch_size 1024 \ --num_epochs 1 --imgScale_test...
Hi, nice work! I have read your source code and have some questions... 1. It seems that your pretrained model was trained on 3 source views setting, so if I...
In the readme I found the line `set batch_size to 1 when you are trining a genelized model, you can enlarge it when fine-tuning.` and since the batch_size is already...
"This repository contains a pytorch lightning implementation for the ICCV 2021 paper: MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo. "
Invalid type provided for checkpoint_callback: Expected bool but received . Pass callback instances to the callbacks argument in the Trainer constructor instead. File "/home/comp/donaldtrump/mvsnerf/train_mvs_nerf_pl.py", line 317, in amp_level='O1')
Which implementation do you use to generate these results? They seem much worse than the results reported in the paper and the results I got with [my implementation](https://github.com/kwea123/nerf_pl). 
Is everything going as planned and will the code be released anytime soon? Awesome work!
