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neus_test.conf
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81 lines (71 loc) · 1.45 KB
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general {
base_exp_dir = CASE_NAME
recording = []
}
dataset {
data_dir = CASE_NAME/data
render_cameras_name = cameras_sphere.npz
object_cameras_name = cameras_sphere.npz
}
train {
learning_rate = 9e-4
learning_rate_alpha = 0.05
end_iter = 50000
batch_size = 512
validate_resolution_level = 4
warm_up_end = 5000
anneal_end = 30000
use_white_bkgd = False
save_freq = 10000
val_freq = 2500
val_mesh_freq = 5000
report_freq = 100
igr_weight = 0.1
mask_weight = 0.0
}
model {
nerf {
D = 8,
d_in = 4,
d_in_view = 3,
W = 256,
multires = 10,
multires_view = 4,
output_ch = 4,
skips=[4],
use_viewdirs=True
}
sdf_network {
d_out = 257
d_in = 3
d_hidden = 256
n_layers = 8
skip_in = [4]
multires = 6
bias = 0.5
scale = 1.0
geometric_init = True
weight_norm = True
}
variance_network {
init_val = 0.3
}
rendering_network {
d_feature = 256
mode = idr
d_in = 9
d_out = 3
d_hidden = 256
n_layers = 4
weight_norm = True
multires_view = 4
squeeze_out = True
}
neus_renderer {
n_samples = 64
n_importance = 64
n_outside = 32
up_sample_steps = 4 # 1 for simple coarse-to-fine sampling
perturb = 1.0
}
}