Method common_forward

nerf/network.py:124–135

(self, x)

        return g

    def common_forward(self, x):
        # x: [N, 3], in [-bound, bound]

        # sigma
        h = self.encoder(x, bound=self.bound)

        h = self.sigma_net(h)

        sigma = trunc_exp(h[..., 0] + self.gaussian(x))
        albedo = torch.sigmoid(h[..., 1:])

        return sigma, albedo
    
    # ref: https://github.com/zhaofuq/Instant-NSR/blob/main/nerf/network_sdf.py#L192
    def finite_difference_normal(self, x, epsilon=1e-2):