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Found 12 papers, 4 papers with code
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh
We introduce GoMAvatar, a novel approach for real-time, memory-efficient, high-quality animatable human modeling.
Pseudo-Generalized Dynamic View Synthesis from a Video
In contrast, for dynamic scenes, scene-specific optimization techniques exist, but, to our best knowledge, there is currently no generalized method for dynamic novel view synthesis from a given monocular video.
ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformation
Image keypoints and descriptors play a crucial role in many visual measurement tasks.
Occupancy Planes for Single-view RGB-D Human Reconstruction
Specifically, a set of 3D locations within the view-frustum of the camera are first projected independently onto the image and a corresponding feature is subsequently extracted for each 3D location.
Initialization and Alignment for Adversarial Texture Optimization
While recovery of geometry from image and video data has received a lot of attention in computer vision, methods to capture the texture for a given geometry are less mature.
Generative Multiplane Images: Making a 2D GAN 3D-Aware
What is really needed to make an existing 2D GAN 3D-aware?
Sparse LiDAR Assisted Self-supervised Stereo Disparity Estimation
Deep stereo matching has made significant progress in recent years.
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction
The reprojection loss is then proposed to directly optimize these sub-pixel keypoints, and the dispersity peak loss is presented for accurate keypoints regularization.
Class-agnostic Reconstruction of Dynamic Objects from Videos
We introduce REDO, a class-agnostic framework to REconstruct the Dynamic Objects from RGBD or calibrated videos.
Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network
Keypoints matching is a pivotal component for many image-relevant applications such as image stitching, visual simultaneous localization and mapping (SLAM), and so on.
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation
It is fundamental for personal robots to reliably navigate to a specified goal.
Stochastic Variance Reduction for Deep Q-learning
Recent advances in deep reinforcement learning have achieved human-level performance on a variety of real-world applications.
