Closed JiatengLiu closed 4 weeks ago
I commented on the code below, but the result was not a face facing the camera like below.
can_pts = torch.matmul(A_fif[..., :3, :3], query_pts[..., None]).squeeze(-1)
smpl_src_pts = can_pts + A_fif[..., :3, 3]
Hi, thanks for your interest. Do you visualize rendered images in T-pose?
yes, besides I want to render people towards cameras with T-pose.
Hi, you can set the target pose to be T-pose to have a debug. You can get rendered results under T-pose by skipping the coarse_deform_c2source function.
Hi, Shoukang, I have followed your guide to skip the coarse_deform_c2source
function, but the results is not what I wished. Results is like below.
What I want to get is like below.
Or can we turn the problem into how to remove the steering of the human body during rendering so that the human body is always facing the camera
Hi, if you hope to use the same camera as the target image, you can change the target pose to be T-pose while keeping other parameters (shape, camera parameters) the same. The other solution is to set up a lookat camera by referring to https://github.com/skhu101/GauHuman/issues/29.
Thanks for your reply! I will try later.
Best!
At 2024-10-21 22:34:08, "Shoukang Hu" @.***> wrote:
Hi, if you hope to use the same camera as the target image, you can change the target pose to be T-pose while keeping other parameters (shape, camera parameters) the same. The other solution is to set up a lookat camera by referring to #29.
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Hi, Shoukang. I want to know how to render the people in the T-pose. I have tried to skip the process
coarse_deform_c2source
, but the rendering results is all zeros, how can I fix it?