Zhuoman Liu
Zhuoman Liu
I tried the [cython version](https://github.com/YadiraF/face3d/tree/master/face3d/mesh) for generating depth maps, and it only cost 0.0035s per frame.
The same problem. @dazinovic
vis_results['dist_abs'] is stored when using `--denoise` in the previous code. The code has been updated to fix this issue when using only `--grad_normal`.
> thanks for your answer. But it seems that there is another issue I've encountered when I run this code "CUDA_VISIBLE_DEVICES=0 python run_mv.py --config configs/blender.txt --scene lego --eval_only" to evaluate...
> Hi, > > Thanks for your patience. It seems like the pretrained model loaded failed in my code, as shown below. > > But I followed you evaluation steps...
> Hi, I've found the issue of my implementation. During adjustment, I've finally loaded the pre-trained model during evaluation. Thank your so much. The print log be like this: 'Loading...
The rendering efficiency of RayDF can be calculated as follows in the eval() function in [run_mv.py](https://github.com/vLAR-group/RayDF/blob/master/run_mv.py): ``` def eval(): ... cost = 0. # new with torch.enable_grad(): for i in...
Since a spherical parameterization will be applied to all rays before training, including the sampled multi-view rays, it will have no effect even if the sampled ray 'exceeds' the scene_bounding...
> Now, I have new questions. How much memory of GPU is needed. My GPU has 8G and it print out of memory. Thanks for your attention to our paper....
May I ask what type of dataset you own? Is it RGB frames/video or depth scans?