Neural Rendering for Full-Dive VR
Photorealistic real-time rendering using neural networks. NeRF, Gaussian splatting, foveated rendering.
Neural Rendering for Full-Dive VR
Neural rendering achieves photorealism at VR frame rates. Combined with eye-tracking enables indistinguishable-from-reality VR.
NeRF Implementation
```python class NeRF(nn.Module): def forward(self, position, direction): """ Input: 3D position + viewing direction Output: RGB color + density """ x = self.mlp(torch.cat([position, direction])) rgb = torch.sigmoid(x[:3]) density = F.relu(x[3]) return rgb, density
Render novel views from any angle
def render_image(nerf, camera_pose): rays = generate_rays(camera_pose) colors = [] for ray in rays: color = volumetric_rendering(nerf, ray) colors.append(color) return colors ``` Frame rate: 90+ fps needed for VR Related: VR Addiction Pandemic (2054)
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