Search Results for author:
Found 10 papers, 2 papers with code
Surface Geometry Processing: An Efficient Normal-based Detail Representation
With the rapid development of high-resolution 3D vision applications, the traditional way of manipulating surface detail requires considerable memory and computing time.
CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion
In this paper, we propose Cross-View Synthesis Transformer (CVSformer), which consists of Multi-View Feature Synthesis and Cross-View Transformer for learning cross-view object relationships.
Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-driven Approach
Just noticeable difference (JND) refers to the maximum visual change that human eyes cannot perceive, and it has a wide range of applications in multimedia systems.
Scale-aware Two-stage High Dynamic Range Imaging
In the first stage of feature fusion, we obtain a preliminary fusion result with little ghosting.
Optical Flow Estimation
Vocal Bursts Intensity Prediction
+1
Deep Learning Methods for Calibrated Photometric Stereo and Beyond
We summarize the performance of deep learning photometric stereo models on the most widely-used benchmark data set.
MNSRNet: Multimodal Transformer Network for 3D Surface Super-Resolution
With the rapid development of display technology, it has become an urgent need to obtain realistic 3D surfaces with as high-quality as possible.
Surface Reconstruction From Normals: A Robust DGP-Based Discontinuity Preservation Approach
In 3D surface reconstruction from normals, discontinuity preservation is an important but challenging task.
3D Surface Detail Enhancement From a Single Normal Map
In 3D reconstruction, the obtained surface details are mainly limited to the visual sensor due to sampling and quantization in the digitalization process.
Photometric Stereo With Near Point Lighting: A Solution by Mesh Deformation
We tackle the problem of photometric stereo under near point lighting in this paper.
Surface-from-Gradients: An Approach Based on Discrete Geometry Processing
In this paper, we propose an efficient method to reconstruct surface-from-gradients (SfG).
