general {
    base_exp_dir = ./outputs/NeuS/
}

dataset {
    object_viewidx = 1,
    imSize = [256, 256],
    stage = coarse,
    mtype = mlp
}

validate {
    validate_resolution_level = 1,
    save_freq = 5000,
    val_freq = 5000,
    val_mesh_freq =5000,
    report_freq = 200,
}

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 = no_view_dir,
        d_in = 6,
        d_out = 3,
        d_hidden = 256,
        n_layers = 4,
        weight_norm = True,
        multires_view = 0,
        squeeze_out = True
    }

    neus_renderer {
        n_samples = 64,
        n_importance = 64,
        n_outside = 0,
        up_sample_steps = 4,     # 1 for simple coarse-to-fine sampling
        perturb = 1.0,
        sdf_decay_param = 100
    }
}