19 citations · 21 across the 6 of their papers we have counts for
4 papers · 1 filter
RayMVSNet++: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo
Yifei Shi, Junhua Xi, Dewen Hu +2
Learning-based multi-view stereo (MVS) has by far centered around 3D convolution on cost volumes. Due to the high computation and memory consumption of 3D CNN, the resolution of ou…
Delving into Crispness: Guided Label Refinement for Crisp Edge Detection
Yunfan Ye, Renjiao Yi, Zhirui Gao +2
Learning-based edge detection usually suffers from predicting thick edges. Through extensive quantitative study with a new edge crispness measure, we find that noisy human-labeled…
RARE: Robust Masked Graph Autoencoder
Wenxuan Tu, Qing Liao, Sihang Zhou +5
Masked graph autoencoder (MGAE) has emerged as a promising self-supervised graph pre-training (SGP) paradigm due to its simplicity and effectiveness. However, existing efforts perf…
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images
Yunfan Ye, Renjiao Yi, Zhirui Gao +3
We study the problem of reconstructing 3D feature curves of an object from a set of calibrated multi-view images. To do so, we learn a neural implicit field representing the densit…