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Found 6 papers, 1 papers with code
SSDNeRF: Semantic Soft Decomposition of Neural Radiance Fields
Neural Radiance Fields (NeRFs) encode the radiance in a scene parameterized by the scene's plenoptic function.
Mapping of Sparse 3D Data using Alternating Projection
We propose a novel technique to register sparse 3D scans in the absence of texture.
PoseNet3D: Learning Temporally Consistent 3D Human Pose via Knowledge Distillation
Finally, both the teacher and the student networks are jointly fine-tuned in an end-to-end manner using temporal, self-consistency and adversarial losses, improving the accuracy of each individual network.
Ranked #70 on
3D Human Pose Estimation
on MPI-INF-3DHP
(using extra training data)
Can generalised relative pose estimation solve sparse 3D registration?
In contrast to correspondence based methods, we take a different viewpoint and formulate the sparse 3D registration problem based on the constraints from the intersection of line segments from adjacent scans.
Learning Material-Aware Local Descriptors for 3D Shapes
Unfortunately, only a small fraction of shapes in 3D repositories are labeled with physical mate- rials, posing a challenge for learning methods.
Novel Single View Constraints for Manhattan 3D Line Reconstruction
We treat the line segments in the image to be part of a graph similar to straws and connectors game, where the goal is to back-project the line segments in 3D space and while ensuring that some of these 3D line segments connect with each other (i. e., truly intersect in 3D space) to form the 3D structure.
