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Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"
Hello, I was training the model on my data with ``` umax: 1.0 umin: 0 vmax: 0.45642212862617093 vmin: 0.32898992833716556 ``` but then I am trying to render the images/videos from...
Hi, Thank you for sharing your nice work. I have a question about one of the evaluation metrics. Is it possible to compute chamfer distance using this code? Thanks in...
Since GRAF is not conditioned on any label, during training time do the latent shape and appearance vectors vary from image to image rather than category from category? If so,...
As pointed out in one of the issues. The below argument is duplicated, and causes an error. graf/submodules/nerf_pytorch/run_nerf.py Line 368 in eaa2d6e ` parser.add_argument("--N_samples", type=int, default=32*32*4, help='batch size (number of...
Hello,thank you for sharing. I'm a complete novice but I read your paper carefully. And there are some questions I cannot understand and unsuccessfully find in the paper : **no1.**...
Hello, your work is awesome. I would like to know some scripts generated from the Carla dataset. I like to create my own Carla dataset for nerf training, but I...
Hi, Are the real patch and generated patch on the same angle at the discriminator? if yes which factor influence that? Otherwise, how does the discriminator compare the two? Thank...
When I tried to analyze how the Shape/APPEARANCE CODES was generated, I found that there was no obvious part in the code. In the Forward code of NERF, there seemed...
I notice that in graf/transforms.py, during train, **class FlexGridRaySampler(RaySampler)** is used but during val/test, **class FullRaySampler(RaySampler)** is used I wonder why use different raysampler? what is the principle behind that...