sync

configs/old/nerf_simple.json

+{
+    "model": ["NeRF", {
+        "color": "rgb",
+        "sampler": {
+            "range": [0, 10],
+            "n_samples": 256
+        },
+        "encoder_x": ["Freq", {
+            "freqs": 10,
+            "cat_input": true
+        }],
+        "encoder_d": ["Freq", {
+            "freqs": 4,
+            "angular": true
+        }],
+        "field": {
+            "shape": [8, 256],
+            "skips": [4]
+        },
+        "color_decoder": "NeRF",
+        "cascade": false
+    }],
+    "train": ["Trainer", {
+        "max_epochs": 20,
+        "opti": ["Adam", {
+            "lr": 5e-4
+        }],
+        "loss": {
+            "Color_L2": "mse_loss(color, gt_color)"
+            //"Density_Reg": ["cauchy_loss(energies)", {"weight": 1e-4, "s": 1e4}]
+        }
+    }]
+}
\ No newline at end of file

configs/nerf_voxels.json → configs/old/nerf_voxels.json

 {
-    "model": "NeRF",
+    "parent": "nerf_default",
     "args": {
-        "color": "rgb",
-        "encode_x": 10,
-        "encode_d": 4,
-        "core_params": {
-            "nf": 256,
-            "n_layers": 8,
-            "skips": [ 4 ]
-        },
-        "n_featdim": 0,
         "space": "voxels",
         "voxel_size": 0.5,
-        "sample_range": [0, 10],
         "n_samples": 50
     },
     "train": {

configs/old/nerf_voxels_mhe.json

+{
+    "parent": "nerf_mhe",
+    "args": {
+        "space": "voxels",
+        "voxel_size": 0.05
+    },
+    "train": {
+        "max_epochs": 10,
+        "prune_epochs": [2],
+        "density_regularization_weight": 1e-4,
+        "density_regularization_scale": 1e4
+    }
+}
\ No newline at end of file

configs/old/nerfadv_default.json

+{
+    "parent": "nerf_default",
+    "args": {
+        "core": "nerfadv",
+        "core_params": {
+            "density_net": {
+                "nf": 256,
+                "n_layers": 4,
+                "act": "leakyrelu"
+            },
+            "color_net": {
+                "nf": 256,
+                "n_layers": 3,
+                "act": "leakyrelu"
+            },
+            "specular_net": {
+                "nf": 128,
+                "n_layers": 1,
+                "act": "leakyrelu"
+            },
+            "appearance": "combined"
+        }
+    }
+}
\ No newline at end of file

configs/old/nerfadv_mhe.json

+{
+    "parent": "nerfadv_default",
+    "args": {
+        "encode_x": ["MultiresHash", {
+            "layers": 16,
+            "log2_hashsize": 19,
+            "features": 2,
+            "res0": 16
+        }],
+        "core_params": {
+            "density_net": {
+                "nf": 64,
+                "n_layers": 1,
+                "act": "leakyrelu"
+            },
+            "color_net": {
+                "nf": 64,
+                "n_layers": 2,
+                "act": "leakyrelu"
+            },
+            "appearance": "combined"
+        }
+    }
+}
\ No newline at end of file

configs/snerf_voxels.json → configs/old/nerfadv_voxels.json

 {
-    "model": "NeRF",
+    "parent": "nerfadv_default",
     "args": {
-        "spherical": true,
-        "color": "rgb",
-        "encode_x": 10,
-        "encode_d": 4,
-        "core_params": {
-            "nf": 256,
-            "n_layers": 8,
-            "skips": [ 4 ]
-        },
-        "n_featdim": 0,
         "space": "voxels",
-        "steps": [4, 16, 8],
-        "n_samples": 16
+        "voxel_size": 0.5,
+        "n_samples": 32
     },
     "train": {
         "max_epochs": 50,

configs/old/nerfadv_voxels_mhe.json

+{
+    "parent": "nerfadv_voxels",
+    "args": {
+        "encode_x": ["MultiresHash", {
+            "layers": 8,
+            "log2_hashsize": 19,
+            "features": 2,
+            "res0": 16
+        }],
+        "core_params": {
+            "density_net": {
+                "nf": 64,
+                "n_layers": 1,
+                "act": "leakyrelu"
+            },
+            "color_net": {
+                "nf": 64,
+                "n_layers": 2,
+                "act": "leakyrelu"
+            },
+            "appearance": "combined"
+        },
+        "steps": [16, 16, 16],
+        "n_samples": 64
+    },
+    "train": {
+        "max_epochs": 30,
+        "prune_epochs": [5],
+        "split_epochs": [10]
+    }
+}
\ No newline at end of file

configs/old/snerf_voxels.json

+{
+    "parent": "nerf_voxels",
+    "args": {
+        "spherical": true,
+        "space": "voxels",
+        "steps": [4, 16, 8],
+        "n_samples": 16
+    }
+}
\ No newline at end of file

configs/old/snerffast.json

+{
+    "model": ["SnerfFast", {
+        "color": "rgb",
+        "sampler": {
+            "n_samples": 64
+        },
+        "encoder_x": ["Freq", {
+            "freqs": 6,
+            "cat_input": true
+        }],
+        "num_fields": 4,
+        "field": {
+            "shape": [8, 256],
+            "skips": []
+        }
+    }],
+    "train": ["Trainer", {
+        "max_epochs": 20,
+        "opti": ["Adam", {
+            "lr": 5e-4
+        }],
+        "loss": {
+            "Color_L2": "mse_loss(color, gt_color)"
+        }
+    }]
+}
\ No newline at end of file

configs/old/snerffast_periph+dr.json

+{
+    "model": ["SnerfFast", {
+        "color": "rgb",
+        "sampler": {
+            "n_samples": 32
+        },
+        "encoder_x": ["Freq", {
+            "freqs": 6,
+            "cat_input": true
+        }],
+        "num_fields": 2,
+        "field": {
+            "shape": [4, 256],
+            "skips": []
+        }
+    }],
+    "train": ["Trainer", {
+        "max_epochs": 20,
+        "opti": ["Adam", {
+            "lr": 5e-4
+        }],
+        "loss": {
+            "Color_L2": "mse_loss(color, gt_color)",
+            "Density_Reg": ["cauchy_loss(energies)", {"weight": 1e-4, "s": 1e4}]
+        }
+    }]
+}
\ No newline at end of file

configs/old/snerffast_periph+dr2.json

+{
+    "model": ["SnerfFast", {
+        "color": "rgb",
+        "sampler": {
+            "n_samples": 32
+        },
+        "encoder_x": ["Freq", {
+            "freqs": 6,
+            "cat_input": true
+        }],
+        "num_fields": 2,
+        "field": {
+            "shape": [4, 256],
+            "skips": []
+        }
+    }],
+    "train": ["Trainer", {
+        "max_epochs": 20,
+        "opti": ["Adam", {
+            "lr": 5e-4
+        }],
+        "loss": {
+            "Color_L2": "mse_loss(color, gt_color)",
+            "Density_Reg": ["cauchy_loss(densities)", {"s": 4}]
+        }
+    }]
+}
\ No newline at end of file

configs/old/snerffast_periph.json

+{
+    "model": ["SnerfFast", {
+        "color": "rgb",
+        "sampler": {
+            "n_samples": 32
+        },
+        "encoder_x": ["Freq", {
+            "freqs": 6,
+            "cat_input": true
+        }],
+        "num_fields": 2,
+        "field": {
+            "shape": [4, 256],
+            "skips": []
+        }
+    }],
+    "train": ["Trainer", {
+        "max_epochs": 20,
+        "opti": ["Adam", {
+            "lr": 5e-4
+        }],
+        "loss": {
+            "Color_L2": "mse_loss(color, gt_color)"
+        }
+    }]
+}
\ No newline at end of file