Scale gradients by the ray distance to the pixel as suggested in Radiance Field Gradient Scaling for Unbiased Near-Camera Training paper Note: The scaling is applied on the interval of [0, 1] …

Use gradient scaler where the gradients are lower for points closer to the camera. class nerfstudio.models.instant_ngp.NGPModel(config: InstantNGPModelConfig, **kwargs)[source] #

[docs] class GradientLoss(nn.Module): """ multiscale, scale-invariant gradient matching term to the disparity space.

Number of steps between randomly sampled batches of rays. steps_per_eval_image: int = 500 # Number of steps between single eval images. steps_per_save: int = 1000 # Number of steps …

GradientLoss.gradient_loss() MiDaSMSELoss MiDaSMSELoss.forward() ScaleAndShiftInvariantLoss ScaleAndShiftInvariantLoss.forward() …

GradientLoss.gradient_loss() MiDaSMSELoss MiDaSMSELoss.forward() ScaleAndShiftInvariantLoss ScaleAndShiftInvariantLoss.forward() …

Paper Website Code Feature Splatting distills SAM-enhanced CLIP features into 3DGS for segmentation and editing Installation: First install nerfstudio dependencies. Then run: Running …

[docs] def get_outputs(self, ray_bundle: RayBundle): if self.field_coarse is None or self.field_fine is None: raise ValueError("populate_fields() must be called before get_outputs") # uniform …

At each hash index, there may be multiple vertices which index to that feature vector, but because these vectors are trainable, the vertices that are most important to the specific output will have …

Collection of renderers Example: