Commit 1bc644a1 authored by Nianchen Deng's avatar Nianchen Deng
Browse files

sync

parent 6294701e
{ {
"model": "NeRF", "parent": "snerf_voxels",
"args": { "args": {
"spherical": true,
"color": "rgb",
"encode_x": 10,
"encode_d": 4,
"core_params": { "core_params": {
"nf": 256, "nf": 256,
"n_layers": 8, "n_layers": 8,
"skips": [4] "skips": [4],
"act": "leakyrelu"
}, },
"space": "voxels", "space": "voxels",
"steps": [16, 64, 32], "steps": [16, 64, 32],
...@@ -17,8 +14,6 @@ ...@@ -17,8 +14,6 @@
"train": { "train": {
"max_epochs": 50, "max_epochs": 50,
"prune_epochs": [10], "prune_epochs": [10],
"split_epochs": [10, 30], "split_epochs": [10, 30]
"density_regularization_weight": 1e-4,
"density_regularization_scale": 1e4
} }
} }
\ No newline at end of file
{
"parent": "nerf_default",
"args": {
"spherical": true,
"encode_x": ["MultiresHash", {
"layers": 16,
"log2_hashsize": 19,
"features": 4,
"res0": [8, 8, 4]
}],
"core_params": {
"nf": 64,
"n_layers": 4,
"act": "leakyrelu"
},
"space": "voxels",
"steps": [64, 256, 128],
"n_samples": 256
},
"train": {
"prune_epochs": [5]
}
}
\ No newline at end of file
{
"parent": "_hr_snerffast",
"args": {
},
"train": {
"density_regularization_weight": 1e-4,
"density_regularization_scale": 1e4
}
}
\ No newline at end of file
{
"parent": "snerffast",
"args": {
"core_params": {
"nf": 512,
"n_layers": 4,
"act": "relu"
},
"multi_nets": 4,
"n_samples": 64
},
"train": {
"max_epochs": 50
}
}
\ No newline at end of file
{
"parent": "_hr_snerffast_mhe",
"train": {
"density_regularization_weight": 1e-4,
"density_regularization_scale": 1e4
}
}
\ No newline at end of file
{
"parent": "snerffast",
"args": {
"encode_x": ["LayeredMultiresHash", {
"layers": 16,
"log2_hashsize": 19,
"features": 4,
"res0": [16, 8]
}]
},
"train": {
"max_epochs": 50
}
}
\ No newline at end of file
{
"parent": "_hr_snerffast_mhe",
"args": {
"encode_x": ["LayeredMultiresHash", {
"layers": 8,
"log2_hashsize": 19,
"features": 8,
"res0": [8, 4]
}]
}
}
\ No newline at end of file
{
"parent": "snerffast",
"args": {
"core_params": {
"nf": 256,
"n_layers": 4,
"act": "relu"
},
"multi_nets": 2,
"n_samples": 32
},
"train": {
"max_epochs": 50
}
}
\ No newline at end of file
...@@ -2,15 +2,27 @@ ...@@ -2,15 +2,27 @@
"model": "NeRF", "model": "NeRF",
"args": { "args": {
"color": "rgb", "color": "rgb",
"encode_x": 10, "encode_x": ["Freq", {
"encode_d": 4, "freqs": 10,
"cat_input": true
}],
"encode_d": ["Freq", {
"freqs": 4,
"angular": true
}],
"core_params": { "core_params": {
"nf": 256, "nf": 256,
"n_layers": 8, "n_layers": 8,
"skips": [ 4 ] "skips": [ 4 ],
"act": "relu"
}, },
"n_featdim": 0, "sample_range": [10, 60],
"sample_range": [0, 10],
"n_samples": 256 "n_samples": 256
},
"train": {
"max_epochs": 5,
"opti": ["Adam", {
"lr": 5e-4
}]
} }
} }
\ No newline at end of file
{
"model": ["NeRF", {
"color": "rgb",
"sampler": {
"range": [2, 6],
"n_samples": 128
},
"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": true,
"pdf_sampler": {
"n_importance": 64
},
"fine_field": {
"shape": [8, 256],
"skips": [4]
}
}],
"train": ["Trainer", {
"max_iters": 200000,
"checkpoint_interval": 10000,
"opti": ["Adam", {
"lr": 5e-4
}],
"scheduler": ["ExponentialLR", {
"gamma": 0.9999954
}],
"loss": {
"Color_L2": "mse_loss(color, gt_color)"
//"Density_Reg": ["cauchy_loss(energies)", {"weight": 1e-4, "s": 1e4}]
}
}]
}
\ No newline at end of file
{
"model": ["NeRF", {
"color": "rgb",
"sampler": {
"range": [0, 10],
"n_samples": 128
},
"encoder_x": ["Freq", {
"freqs": 10,
"cat_input": true
}],
"encoder_d": ["Freq", {
"freqs": 4,
"cat_input": true
}],
"field": {
"shape": [8, 256],
"skips": [4]
},
"color_decoder": "NeRF",
"cascade": true,
"pdf_sampler": {
"n_importance": 64
},
"fine_field": {
"shape": [8, 256],
"skips": [4]
}
}],
"train": ["Trainer", {
"batch_size": 1024,
"max_iters": 200000,
"checkpoint_interval": 10000,
"opti": ["Adam", {
"lr": 5e-4
}],
"scheduler": ["ExponentialLR", {
"gamma": 0.9999954
}],
"loss": {
"Color_L2": "mse_loss(color, gt_color)",
"Coarse_Color_L2": "mse_loss(coarse_color, gt_color)",
//"Density_Reg": ["cauchy_loss(energies)", {"weight": 1e-4, "s": 1e4}]
}
}]
}
\ No newline at end of file
{
"parent": "nerf_default",
"args": {
"encode_x": ["MultiresHash", {
"layers": 10,
"log2_hashsize": 19,
"features": 2,
"res0": 16,
"scale_up": 1.5
}],
"core_params": {
"nf": 64,
"n_layers": 3,
"act": "leakyrelu"
}
}
}
\ No newline at end of file
{
"parent": "nerf_mhe",
"args": {
"encode_x": ["MultiresHash", {
"layers": 4,
"log2_hashsize": 19,
"features": 4,
"res0": 16
}]
}
}
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