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Found 5 papers, 1 papers with code
DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos
To model the deformation more accurately, we propose to initialize an estimated 3D clothed human in the canonical space, as it is easier for deformation fields to learn from the clothed human than from SMPL.
NeTO:Neural Reconstruction of Transparent Objects with Self-Occlusion Aware Refraction-Tracing
In this paper, we propose to leverage implicit Signed Distance Function (SDF) as surface representation, and optimize the SDF field via volume rendering with a self-occlusion aware refractive ray tracing.
Learning Long-Range Information with Dual-Scale Transformers for Indoor Scene Completion
Due to the limited resolution of 3D sensors and the inevitable mutual occlusion between objects, 3D scans of real scenes are commonly incomplete.
DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation
To this end, we proposed a Depth-Guided Edge Convolutional Network (DGECN) for 6D pose estimation task.
RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation
Indoor semantic segmentation has always been a difficult task in computer vision.
Ranked #26 on
Semantic Segmentation
on SUN-RGBD
(using extra training data)
