research
∙
03/30/2023
NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation
We present a novel differentiable rendering framework for joint geometry...
share
research
∙
08/30/2022
ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer
Generating robust and reliable correspondences across images is a fundam...
research
∙
06/07/2022
Critical Regularizations for Neural Surface Reconstruction in the Wild
Neural implicit functions have recently shown promising results on surfa...
research
∙
03/14/2022
NeILF: Neural Incident Light Field for Physically-based Material Estimation
We present a differentiable rendering framework for material and lightin...
research
∙
08/18/2020
Visibility-aware Multi-view Stereo Network
Learning-based multi-view stereo (MVS) methods have demonstrated promisi...
research
∙
08/11/2020
Learning Stereo Matchability in Disparity Regression Networks
Learning-based stereo matching has recently achieved promising results, ...
research
∙
08/04/2020
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation
In this paper, we introduce a novel network, called discriminative featu...
research
∙
08/02/2020
Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction
Current bundle adjustment solvers such as the Levenberg-Marquardt (LM) a...
research
∙
07/24/2020
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency
Recent learning-based approaches, in which models are trained by single-...
research
∙
04/16/2020
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts
In this paper, we present a joint multi-task learning framework for sema...
research
∙
03/24/2020
KFNet: Learning Temporal Camera Relocalization using Kalman Filtering
Temporal camera relocalization estimates the pose with respect to each v...
research
∙
03/23/2020
ASLFeat: Learning Local Features of Accurate Shape and Localization
This work focuses on mitigating two limitations in the joint learning of...
research
∙
11/22/2019
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
While deep learning has recently achieved great success on multi-view st...
research
∙
09/19/2019
Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency
The self-supervised learning of depth and pose from monocular sequences ...
research
∙
05/22/2019
Learning Fully Dense Neural Networks for Image Semantic Segmentation
Semantic segmentation is pixel-wise classification which retains critica...
research
∙
04/08/2019
ContextDesc: Local Descriptor Augmentation with Cross-Modality Context
Most existing studies on learning local features focus on the patch-base...
research
∙
02/27/2019
Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference
Deep learning has recently demonstrated its excellent performance for mu...
research
∙
02/25/2019
Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation
Accurate relative pose is one of the key components in visual odometry (...
research
∙
11/26/2018
Matchable Image Retrieval by Learning from Surface Reconstruction
Convolutional Neural Networks (CNNs) have achieved superior performance ...
research
∙
07/17/2018
GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints
Learned local descriptors based on Convolutional Neural Networks (CNNs) ...
research
∙
07/16/2018
Learning and Matching Multi-View Descriptors for Registration of Point Clouds
Critical to the registration of point clouds is the establishment of a s...
research
∙
04/07/2018
MVSNet: Depth Inference for Unstructured Multi-view Stereo
We present an end-to-end deep learning architecture for depth map infere...
research
∙
02/28/2017