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cond_image_size: 512 | |
image_tokenizer_cls: tsr.models.tokenizers.image.DINOSingleImageTokenizer | |
image_tokenizer: | |
pretrained_model_name_or_path: "facebook/dino-vitb16" | |
tokenizer_cls: tsr.models.tokenizers.triplane.Triplane1DTokenizer | |
tokenizer: | |
plane_size: 32 | |
num_channels: 1024 | |
backbone_cls: tsr.models.transformer.transformer_1d.Transformer1D | |
backbone: | |
in_channels: ${tokenizer.num_channels} | |
num_attention_heads: 16 | |
attention_head_dim: 64 | |
num_layers: 16 | |
cross_attention_dim: 768 | |
post_processor_cls: tsr.models.network_utils.TriplaneUpsampleNetwork | |
post_processor: | |
in_channels: 1024 | |
out_channels: 40 | |
decoder_cls: tsr.models.network_utils.NeRFMLP | |
decoder: | |
in_channels: 120 # 3 * 40 | |
n_neurons: 64 | |
n_hidden_layers: 9 | |
activation: silu | |
renderer_cls: tsr.models.nerf_renderer.TriplaneNeRFRenderer | |
renderer: | |
radius: 0.87 # slightly larger than 0.5 * sqrt(3) | |
feature_reduction: concat | |
density_activation: exp | |
density_bias: -1.0 | |
num_samples_per_ray: 128 |