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encoder:
cross_attention_dataset: pcl_and_multiview_pcl
d_latent: 1024
data_ctx: 1024
fps_method: first
heads: 8
init_scale: 0.25
inner_batch_size:
- 16384
- 20
input_channels: 6
latent_bottleneck:
diffusion:
schedule: inv_parabola
schedule_args:
power: 5.0
timesteps: 1024
diffusion_prob: 0.1
name: clamp_diffusion_noise
layers: 12
max_depth: 9.0
max_unrolls: 1
min_unrolls: 1
name: PointCloudPerceiverChannelsEncoder
params_proj:
init_scale: 1.0
learned_scale: 0.0625
name: channels
use_ln: true
patch_size: 8
pointconv_hidden:
- 1024
- 1024
pointconv_padding_mode: circular
pointconv_patch_size: 8
pointconv_samples: 64
pointconv_stride: 4
pos_emb: nerf
use_depth: true
use_pointconv: true
width: 1024
name: Transmitter
renderer:
grid_size: 128
n_coarse_samples: 64
n_fine_samples: 128
name: NeRSTFRenderer
nerstf:
activation: swish
d_hidden: 256
density_activation: relu
init_scale: 0.25
initial_density_bias: 0.1
insert_direction_at: 4
meta_bias: false
meta_parameters: true
n_hidden_layers: 6
n_meta_layers: 4
name: MLPNeRSTFModel
posenc_version: nerf
separate_coarse_channels: true
separate_nerf_channels: true
trainable_meta: false
separate_shared_samples: true
void:
background:
- 0
- 0
- 0
name: VoidNeRFModel
volume:
bbox_max:
- 1.0
- 1.0
- 1.0
bbox_min:
- -1.0
- -1.0
- -1.0
name: BoundingBoxVolume
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