Trending Research
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech
PaddlePaddle/PaddleSpeech
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Interspeech2020 2020
In this paper, we propose multi-band MelGAN, a much faster waveform generation model targeting to high-quality text-to-speech.
Sound Audio and Speech Processing
Combining Motion Matching and Orientation Prediction to Animate Avatars for Consumer-Grade VR Devices
upc-virvig/mmvr
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First, we use a neural network to estimate the user's body orientation based on the tracking information from the HMD and the hand controllers.
Human-Computer Interaction Graphics
HyperDog: An Open-Source Quadruped Robot Platform Based on ROS2 and micro-ROS
With the higher demand for legged robot experiments, more researches and engineers need an affordable and quick way of locomotion algorithm development.
Robotics
Leveraging Structural Information to Improve Point Line Visual-Inertial Odometry
In this paper, we designed a VIO system based on points and straight lines, which divides straight lines into structural straight lines (that is, straight lines parallel to each other) and non-structural straight lines.
Robotics
Efficient and Consistent Bundle Adjustment on Lidar Point Clouds
To represent and solve the resultant optimization problem more efficiently, this paper then proposes a novel concept {\it point clusters}, which encodes all raw points associated to the same feature by a compact set of parameters, the {\it point cluster coordinates}.
Robotics
ADEPT: Automatic Differentiable DEsign of Photonic Tensor Cores
Photonic tensor cores (PTCs) are essential building blocks for optical artificial intelligence (AI) accelerators based on programmable photonic integrated circuits.
Emerging Technologies Optics
Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows
Exploratory data science largely happens in computational notebooks with dataframe APIs, such as pandas, that support flexible means to transform, clean, and analyze data.
Databases Human-Computer Interaction
Evaluation of Sampling Methods for Scatterplots
Given a scatterplot with tens of thousands of points or even more, a natural question is which sampling method should be used to create a small but "good" scatterplot for a better abstraction.
Human-Computer Interaction
DynaVINS: A Visual-Inertial SLAM for Dynamic Environments
Then, a keyframe grouping and a multi-hypothesis-based constraints grouping methods are proposed to reduce the effect of temporarily static objects in the loop closing.
Robotics
pLUTo: Enabling Massively Parallel Computation in DRAM via Lookup Tables
To overcome these limitations of existing PuM architectures, we introduce pLUTo (processing-using-memory with lookup table (LUT) operations), a DRAM-based PuM architecture that leverages the high storage density of DRAM to enable the massively parallel storing and querying of lookup tables (LUTs).
Hardware Architecture Distributed, Parallel, and Cluster Computing B.3.1; C.1.3
