Voxformer: Sparse voxel transformer for camera-based 3d semantic scene completion
Humans can easily imagine the complete 3D geometry of occluded objects and scenes. This
appealing ability is vital for recognition and understanding. To enable such capability in AI …
appealing ability is vital for recognition and understanding. To enable such capability in AI …
Iterative geometry encoding volume for stereo matching
Abstract Recurrent All-Pairs Field Transforms (RAFT) has shown great potentials in
matching tasks. However, all-pairs correlations lack non-local geometry knowledge and …
matching tasks. However, all-pairs correlations lack non-local geometry knowledge and …
Practical stereo matching via cascaded recurrent network with adaptive correlation
With the advent of convolutional neural networks, stereo matching algorithms have recently
gained tremendous progress. However, it remains a great challenge to accurately extract …
gained tremendous progress. However, it remains a great challenge to accurately extract …
Attention concatenation volume for accurate and efficient stereo matching
Stereo matching is a fundamental building block for many vision and robotics applications.
An informative and concise cost volume representation is vital for stereo matching of high …
An informative and concise cost volume representation is vital for stereo matching of high …
Raft-stereo: Multilevel recurrent field transforms for stereo matching
We introduce RAFT-Stereo, a new deep architecture for rectified stereo based on the optical
flow network RAFT [35]. We introduce multi-level convolutional GRUs, which more efficiently …
flow network RAFT [35]. We introduce multi-level convolutional GRUs, which more efficiently …
Cfnet: Cascade and fused cost volume for robust stereo matching
Recently, the ever-increasing capacity of large-scale annotated datasets has led to profound
progress in stereo matching. However, most of these successes are limited to a specific …
progress in stereo matching. However, most of these successes are limited to a specific …
The application of deep learning in stereo matching and disparity estimation: A bibliometric review
Estimating the depth of the 3D world from 2D images is a classic and important issue in
computer vision, which has been widely studied for decades. With the remarkable effect of …
computer vision, which has been widely studied for decades. With the remarkable effect of …
Mvster: Epipolar transformer for efficient multi-view stereo
Abstract Learning-based Multi-View Stereo (MVS) methods warp source images into the
reference camera frustum to form 3D volumes, which are fused as a cost volume to be …
reference camera frustum to form 3D volumes, which are fused as a cost volume to be …
High-frequency stereo matching network
In the field of binocular stereo matching, remarkable progress has been made by iterative
methods like RAFT-Stereo and CREStereo. However, most of these methods lose …
methods like RAFT-Stereo and CREStereo. However, most of these methods lose …
Vision-based environmental perception for autonomous driving
Visual perception plays an important role in autonomous driving. One of the primary tasks is
object detection and identification. Since the vision sensor is rich in color and texture …
object detection and identification. Since the vision sensor is rich in color and texture …