Thanks for the excellent work! Here I have a question regarding the neural rendering network.
As suggested in the paper, the RGB render loss of reference image boosts the depth prediction performance. I wonder have you visualized the RGB rendering quality of reference view on test scenes? Is it better than or comparable to pure NeRF-like methods like IBRNet?
I tried to demonstrate the rendering quality of the rendering network using your provided 'model_000014_nerf.ckpt' but the result seems quite weird:
RGB rendering:
depth rendering:
Any suggestions would be greatly appreciated. Thanks in advance!
Thanks for the excellent work! Here I have a question regarding the neural rendering network.
As suggested in the paper, the RGB render loss of reference image boosts the depth prediction performance. I wonder have you visualized the RGB rendering quality of reference view on test scenes? Is it better than or comparable to pure NeRF-like methods like IBRNet?
I tried to demonstrate the rendering quality of the rendering network using your provided 'model_000014_nerf.ckpt' but the result seems quite weird:
RGB rendering: depth rendering:
Any suggestions would be greatly appreciated. Thanks in advance!