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

sync

parent 6294701e
{
"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
{
"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": {
......
{
"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
{
"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
{
"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
{
"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,
......
{
"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
{
"parent": "nerf_voxels",
"args": {
"spherical": true,
"space": "voxels",
"steps": [4, 16, 8],
"n_samples": 16
}
}
\ No newline at end of file
{
"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
{
"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
{
"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
{
"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
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