ThirdParty/eg3d/training/volumetric_rendering/ray_marcher.py

# SPDX-FileCopyrightText: Copyright (c) 2021-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
#
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"""
The ray marcher takes the raw output of the implicit representation and uses the volume rendering equation to produce composited colors and depths.
Based off of the implementation in MipNeRF (this one doesn't do any cone tracing though!)
"""

import torch
import torch.nn as nn
import torch.nn.functional as F

class MipRayMarcher2(nn.Module):
    def __init__(self):
        super().__init__()


    def run_forward(self, colors, densities, depths, rendering_options):
        deltas = depths[:, :, 1:] - depths[:, :, :-1]
        colors_mid = (colors[:, :, :-1] + colors[:, :, 1:]) / 2
        densities_mid = (densities[:, :, :-1] + densities[:, :, 1:]) / 2
        depths_mid = (depths[:, :, :-1] + depths[:, :, 1:]) / 2


        if rendering_options['clamp_mode'] == 'softplus':
            densities_mid = F.softplus(densities_mid - 1) # activation bias of -1 makes things initialize better
        else:
            assert False, "MipRayMarcher only supports `clamp_mode`=`softplus`!"

        density_delta = densities_mid * deltas

        alpha = 1 - torch.exp(-density_delta)

        alpha_shifted = torch.cat([torch.ones_like(alpha[:, :, :1]), 1-alpha + 1e-10], -2)
        weights = alpha * torch.cumprod(alpha_shifted, -2)[:, :, :-1]

        composite_rgb = torch.sum(weights * colors_mid, -2)
        weight_total = weights.sum(2)
        composite_depth = torch.sum(weights * depths_mid, -2) / weight_total

        # clip the composite to min/max range of depths
        composite_depth = torch.nan_to_num(composite_depth, float('inf'))
        composite_depth = torch.clamp(composite_depth, torch.min(depths), torch.max(depths))

        if rendering_options.get('white_back', False):
            composite_rgb = composite_rgb + 1 - weight_total

        composite_rgb = composite_rgb * 2 - 1 # Scale to (-1, 1)

        return composite_rgb, composite_depth, weights


    def forward(self, colors, densities, depths, rendering_options):
        composite_rgb, composite_depth, weights = self.run_forward(colors, densities, depths, rendering_options)

        return composite_rgb, composite_depth, weights