Hi, thank you for your excellent paper. In the original implementation, the pose between view_idx_prev and view_idx is initialized via self.gs_render_local.gaussians.init_RT(None). It can be run normally.
However, when I tried to initialize the pose with gt values in add_view_v2 (e.g., self.gs_render_local.gaussians.init_RT(pose=gt_pose[view_idx_prev]) ), I encountered the following issue:
Traceback (most recent call last):
File "/home/zlq/code/CF-3DGS/run_cf3dgs.py", line 48, in
trainer.train_from_progressive()
File "/home/zlq/code/CF-3DGS/trainer/cf3dgs_trainer.py", line 475, in train_from_progressive
pcd_new, local_gauss_params = self.add_view_v2(
File "/home/zlq/code/CF-3DGS/trainer/cf3dgs_trainer.py", line 277, in add_view_v2
self.gs_render_local.gaussians.training_setup_fix_position(
File "/home/zlq/code/CF-3DGS/scene/gaussian_model_cf.py", line 307, in training_setup_fix_position
self.xyz_gradient_accum = torch.zeros((self.get_xyz.shape[0], 1), device="cuda")
File "/home/zlq/code/CF-3DGS/scene/gaussian_model_cf.py", line 128, in get_xyz
xyz = self.P[0].retr().act(xyz)
TypeError: LieGroup.retr() missing 1 required positional argument: 'a'
Hi, thank you for your excellent paper. In the original implementation, the pose between view_idx_prev and view_idx is initialized via self.gs_render_local.gaussians.init_RT(None). It can be run normally.
However, when I tried to initialize the pose with gt values in add_view_v2 (e.g.,
self.gs_render_local.gaussians.init_RT(pose=gt_pose[view_idx_prev])
), I encountered the following issue:Traceback (most recent call last): File "/home/zlq/code/CF-3DGS/run_cf3dgs.py", line 48, in
trainer.train_from_progressive()
File "/home/zlq/code/CF-3DGS/trainer/cf3dgs_trainer.py", line 475, in train_from_progressive
pcd_new, local_gauss_params = self.add_view_v2(
File "/home/zlq/code/CF-3DGS/trainer/cf3dgs_trainer.py", line 277, in add_view_v2
self.gs_render_local.gaussians.training_setup_fix_position(
File "/home/zlq/code/CF-3DGS/scene/gaussian_model_cf.py", line 307, in training_setup_fix_position
self.xyz_gradient_accum = torch.zeros((self.get_xyz.shape[0], 1), device="cuda")
File "/home/zlq/code/CF-3DGS/scene/gaussian_model_cf.py", line 128, in get_xyz
xyz = self.P[0].retr().act(xyz)
TypeError: LieGroup.retr() missing 1 required positional argument: 'a'
How can I solve this? Thanks!