Quan Meng

Thanks for your interest in our work. The code is in PyTorch and will be released in the next two weeks. I'm sorry for the delay!

Thanks for so much interest, but apologies for the delay : ) The code is in progress, and I need to take more time out of my recent work!

Thanks for waiting patiently : ) I'm cleaning the code right now!

The code is released :)

Really good questions! Many scenes can be categorized into three cases: forward-facing, inward-facing, and randomly distributed scenes. For forward-facing scenes, the camera poses can be directly optimized via gradient descent,...

Are you using the most recently pushed code? The bug is fiexed in the commit "Fixed bug in dtu dataset (the order of image width and hight)" on Nov 11,...

Changing the batch size has a certain effect on the stability of GAN If the result is empty, it should mean that GAN training has failed Generally the loss of...

You don't need to change the params in a same dataset, e.g., Blender (six scenes with upper hemisphere distribution), DTU I will check it again in my computer with the...

You can attach the screenshot of your training curve in tensorboard so I can better analyze the problem based on my experience

I partially tested the code on chair and drums scenes, the estimated camera parameters, RGB and Depth maps all look right A successful training curve should look like this