↓ 1 callersMethodp_sample_plms(
self,
x,
c,
t,
index,
repeat_noise=False,
use_origin
extern/ldm_zero123/models/diffusion/plms.py:269
↓ 1 callersMethodp_sample_plms(self, x, c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False,
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/plms.py:180
↓ 1 callersMethodpatch_warp :param pts: [N_rays, n_samples, 3] :param uv : [N_rays, 2] normalized in (-1, 1) :param normals: [N_rays, n_samples, 3] Th
mv-diffusion/One-2-3-45-by-view/reconstruction/models/patch_projector.py:45
↓ 1 callersMethodpatch_warp :param pts: [N_rays, n_samples, 3] :param uv : [N_rays, 2] normalized in (-1, 1) :param normals: [N_rays, n_samples, 3] Th
mv-diffusion/One-2-3-45/reconstruction/models/patch_projector.py:45
↓ 1 callersMethodpixel_warp :param pts: [N_rays, n_samples, 3] :param imgs: [N_views, 3, H, W] :param intrinsics: [N_views, 4, 4] :param c2ws: [
mv-diffusion/One-2-3-45-by-view/reconstruction/models/patch_projector.py:21
↓ 1 callersMethodpixel_warp :param pts: [N_rays, n_samples, 3] :param imgs: [N_views, 3, H, W] :param intrinsics: [N_views, 4, 4] :param c2ws: [
mv-diffusion/One-2-3-45/reconstruction/models/patch_projector.py:21
↓ 1 callersMethodplms_sampling(
self,
cond,
shape,
x_T=None,
ddim_use_original_steps=False,
extern/ldm_zero123/models/diffusion/plms.py:163
↓ 1 callersMethodplms_sampling(self, cond, shape,
x_T=None, ddim_use_original_steps=False,
callb
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/plms.py:120
↓ 1 callersMethodrasterize_one(
self,
pos: Float[Tensor, "Nv 4"],
tri: Integer[Tensor, "Nf 3"],
resolution:
threestudio/utils/rasterize.py:39
↓ 1 callersFunctionreconstruct(exp_dir, text="", output_format=".ply", device_idx=0,
resolution=256, save_vis=False)
mv-diffusion/One-2-3-45-by-view/run.py:42
↓ 1 callersMethodregister_schedule(self, given_betas=None, beta_schedule="linear", timesteps=1000,
linear_start=1e-4,
mv-diffusion/MVDream/mvdream/ldm/interface.py:47
↓ 1 callersMethodregister_schedule(self, beta_schedule="linear", timesteps=1000,
linear_start=1e-4, linear_end=2e-2, c
mv-diffusion/One-2-3-45-by-view/ldm/modules/encoders/modules.py:490
↓ 1 callersMethodrender(self, rays_o, rays_d, near, far, sdf_network, rendering_network,# torch.Size([512, 3]) rays_d=torch.Size([512
mv-diffusion/One-2-3-45-by-view/reconstruction/models/sparse_neus_renderer.py:457
↓ 1 callersMethodsample(
self,
S,
batch_size,
shape,
conditioning=None,
callback=None
extern/ldm_zero123/models/diffusion/ddim.py:105
↓ 1 callersMethodsample(
self,
cond,
batch_size=16,
return_intermediates=False,
x_T=None,
extern/ldm_zero123/models/diffusion/ddpm.py:1590
↓ 1 callersMethodsample(self,
S,
batch_size,
shape,
conditioning=None,
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/ddim.py:69
↓ 1 callersMethodsample(self, cond, batch_size=16, return_intermediates=False, x_T=None,
verbose=True, timesteps=None,
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/ddpm.py:1209
↓ 1 callersMethodsample_z_vals_from_maskVolume(self, rays_o, rays_d, near, far, mask_volume)
mv-diffusion/One-2-3-45-by-view/reconstruction/models/sparse_neus_renderer.py:661
↓ 1 callersMethodsample_z_vals_from_maskVolume(self, rays_o, rays_d, near, far, mask_volume)
mv-diffusion/One-2-3-45/reconstruction/models/sparse_neus_renderer.py:661
↓ 1 callersMethodsave_visualization(self, true_img, true_colored_depth, out_depth, out_normal, w2cs, out_color, H, W,
mv-diffusion/One-2-3-45-by-view/reconstruction/models/trainer_generic.py:161