↓ 7 callersFunctiongenerate_grid generate grid if 3D volume, grid[:,:,x,y,z] = (x,y,z) :param n_vox: :param interval: :return:
mv-diffusion/One-2-3-45/reconstruction/ops/generate_grids.py:4
↓ 7 callersFunctionget_rays(
directions: Float[Tensor, "... 3"],
c2w: Float[Tensor, "... 4 4"],
keepdim=False,
noise_scal
threestudio/utils/ops.py:219
↓ 7 callersMethodupsample :param pre_feat: (Tensor), features from last level, (N, C) :param pre_coords: (Tensor), coordinates from last level, (N, 4) (4 : Ba
mv-diffusion/One-2-3-45/reconstruction/models/sparse_sdf_network.py:198
↓ 6 callersMethodforward_unet(
self,
latents: Float[Tensor, "..."],
t: Float[Tensor, "..."],
encoder_hidden
threestudio/models/guidance/stable_diffusion_guidance.py:146
↓ 6 callersFunctiongenerate_grid generate grid if 3D volume, grid[:,:,x,y,z] = (x,y,z) :param n_vox: :param interval: :return:
mv-diffusion/One-2-3-45-by-view/reconstruction/ops/generate_grids.py:4
↓ 5 callersFunctiongen_large_mask img_h: int, an image height img_w: int, an image width marg: int, a margin for a box starting coordinate p_irr: float, 0 <= p_irr <=
mv-diffusion/One-2-3-45-by-view/ldm/data/inpainting/synthetic_mask.py:85
↓ 5 callersMethodget_pts_mask_for_conditional_volume :param pts: [N, 3] :param mask_volume: [1, 1, X, Y, Z] :return:
mv-diffusion/One-2-3-45-by-view/reconstruction/models/sparse_neus_renderer.py:154
↓ 5 callersMethodget_pts_mask_for_conditional_volume :param pts: [N, 3] :param mask_volume: [1, 1, X, Y, Z] :return:
mv-diffusion/One-2-3-45/reconstruction/models/sparse_neus_renderer.py:154