Transformer and upsampling-based point cloud compression
Learning-based point cloud compression has exhibited superior coding performance over
the traditional methods such as MEPG G-PCC. Considering that conventional point cloud …
the traditional methods such as MEPG G-PCC. Considering that conventional point cloud …
Scalable point cloud attribute compression
This article develops a Scalable Point Cloud Attribute Compression solution, termed
ScalablePCAC. In a two-layer example, ScalablePCAC uses the standard G-PCC at the base layer …
ScalablePCAC. In a two-layer example, ScalablePCAC uses the standard G-PCC at the base layer …
Content-aware rate control for geometry-based point cloud compression
J Zhang, J Zhang, W Ma, D Ding… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Geometry-based Point Cloud Compression (G-PCC) standard enables point cloud
delivery over the internet through efficient compression. Limited by the transmission bandwidth, …
delivery over the internet through efficient compression. Limited by the transmission bandwidth, …
Seed-tts: A family of high-quality versatile speech generation models
We introduce Seed-TTS, a family of large-scale autoregressive text-to-speech (TTS) models
capable of generating speech that is virtually indistinguishable from human speech. Seed-…
capable of generating speech that is virtually indistinguishable from human speech. Seed-…
[HTML][HTML] A Binary Mixture of Emamectin Benzoate and Chlorantraniliprole Supplemented with an Adjuvant Effectively Controls Spodoptera frugiperda
J Zhang, J Jiang, K Wang, Y Zhang, Z Liu, N Yu - Insects, 2022 - mdpi.com
Simple Summary The fall armyworm (FAW) Spodoptera frugiperda causes severe crop loss
worldwide, urging effective prevention and control strategies. This study selects an effective …
worldwide, urging effective prevention and control strategies. This study selects an effective …
YOGA: Yet another geometry-based point cloud compressor
A learning-based YOGA (Yet Another Geometry-based Point Cloud Compressor) is proposed.
It is flexible, allowing for the separable lossy compression of geometry and color attributes…
It is flexible, allowing for the separable lossy compression of geometry and color attributes…
Learning to restore compressed point cloud attribute: A fully data-driven approach and a rules-unrolling-based optimization
The emergence of holographic media drives the standardization of Geometry-based Point
Cloud Compression (G-PCC) to sustain networked service provisioning. However, G-PCC …
Cloud Compression (G-PCC) to sustain networked service provisioning. However, G-PCC …
Deeppcc: Learned lossy point cloud compression
We propose DeepPCC, an end-to-end learning-based approach for the lossy compression
of large-scale object point clouds. For both geometry and attribute components, we introduce …
of large-scale object point clouds. For both geometry and attribute components, we introduce …
ARNet: Attribute artifact reduction for G-PCC compressed point clouds
A learning-based adaptive loop filter is developed for the geometry-based point-cloud
compression (G-PCC) standard to reduce attribute compression artifacts. The proposed method …
compression (G-PCC) standard to reduce attribute compression artifacts. The proposed method …
Identification of yellow gene family and functional analysis of Spodoptera frugiperda yellow-y by CRISPR/Cas9
W Han, F Tang, Y Zhong, J Zhang, Z Liu - Pesticide Biochemistry and …, 2021 - Elsevier
For a devastating agricultural pest, functional genomics promotes the finding of novel technology
to control Spodoptera frugiperda, such as the genetics-based strategies. In the present …
to control Spodoptera frugiperda, such as the genetics-based strategies. In the present …