Init

confs/womask_high_dtu.conf

@@ -0,0 +1,98 @@
+general {
+    base_exp_dir = ./exp/CASE_NAME/womask
+    recording = [
+        ./,
+        ./models
+    ]
+}
+
+dataset {
+    data_dir = ./public_data/CASE_NAME/
+    render_cameras_name = cameras_sphere.npz
+    object_cameras_name = cameras_sphere.npz
+}
+
+train {
+    learning_rate = 5e-4
+    learning_rate_alpha = 0.05
+    end_iter = 300000
+
+    batch_size = 512
+    validate_resolution_level = 4
+    warm_up_end = 5000
+    anneal_end = 50000
+    use_white_bkgd = False
+
+    save_freq = 10000
+    val_freq = 500
+    val_mesh_freq = 5000
+    report_freq = 100
+
+    igr_weight = 0.05
+    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 = 16
+        bias = 0.5
+        scale = 1.0
+        geometric_init = True
+        weight_norm = True
+    }
+
+    sdf_network_high {
+        d_out = 257
+        d_in = 3
+        d_hidden = 256
+        n_layers = 8
+        skip_in = [4]
+        multires = 16
+        bias = 0.5
+        scale = 1.0
+        geometric_init = False
+        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 = 6
+        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
+        is_adasamp = False
+    }
+}

confs/womask_high_nerfsyn.conf

@@ -0,0 +1,98 @@
+general {
+    base_exp_dir = ./exp/CASE_NAME/womask
+    recording = [
+        ./,
+        ./models
+    ]
+}
+
+dataset {
+    data_dir = ./public_data/CASE_NAME/
+    render_cameras_name = cameras_sphere.npz
+    object_cameras_name = cameras_sphere.npz
+}
+
+train {
+    learning_rate = 5e-4
+    learning_rate_alpha = 0.05
+    end_iter = 300000
+
+    batch_size = 512
+    validate_resolution_level = 4
+    warm_up_end = 5000
+    anneal_end = 50000
+    use_white_bkgd = False
+
+    save_freq = 10000
+    val_freq = 500
+    val_mesh_freq = 5000
+    report_freq = 100
+
+    igr_weight = 0.05
+    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 = 16
+        bias = 0.5
+        scale = 1.0
+        geometric_init = True
+        weight_norm = True
+    }
+
+    sdf_network_high {
+        d_out = 257
+        d_in = 3
+        d_hidden = 256
+        n_layers = 8
+        skip_in = [4]
+        multires = 16
+        bias = 0.5
+        scale = 1.0
+        geometric_init = False
+        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 = 6
+        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
+        is_adasamp = True
+    }
+}