3 citations · 3 across the 11 of their papers we have counts for
7 papers · 1 filter
A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding
Yitong Dong, Yijin Li, Zhaoyang Huang +6
In this paper, we propose a novel multi-view stereo (MVS) framework that gets rid of the depth range prior. Unlike recent prior-free MVS methods that work in a pair-wise manner, ou…
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
Junjie Ni, Guofeng Zhang, Guanglin Li +4
We tackle the efficiency problem of learning local feature matching. Recent advancements have given rise to purely CNN-based and transformer-based approaches, each augmented with d…
BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events
Yijin Li, Yichen Shen, Zhaoyang Huang +9
Recent advances in event-based vision suggest that these systems complement traditional cameras by providing continuous observation without frame rate limitations and a high dynami…
BlinkTrack: Feature Tracking over 80 FPS via Events and Images
Yichen Shen, Yijin Li, Shuo Chen +5
Event cameras, known for their high temporal resolution and ability to capture asynchronous changes, have gained significant attention for their potential in feature tracking, espe…
GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image
Chong Bao, Yinda Zhang, Yuan Li +6
Recently, we have witnessed the explosive growth of various volumetric representations in modeling animatable head avatars. However, due to the diversity of frameworks, there is no…
CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field
Jiarui Hu, Xianhao Chen, Boyin Feng +5
Recently neural radiance fields (NeRF) have been widely exploited as 3D representations for dense simultaneous localization and mapping (SLAM). Despite their notable successes in s…