Robotics & Machine Learning Daily News2024,Issue(Oct.4) :12-13.

Findings on Robotics and Automation Discussed by Investigators at Xi'an Jiaotong University (Amvp: Adaptive Multi-volume Primitives for Auto-driving Novel View Synthesis)

Robotics & Machine Learning Daily News2024,Issue(Oct.4) :12-13.

Findings on Robotics and Automation Discussed by Investigators at Xi'an Jiaotong University (Amvp: Adaptive Multi-volume Primitives for Auto-driving Novel View Synthesis)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Robotics-Robotics and Automation. According to news reporting originating in X i'an, People's Republic of China, by NewsRx journalists, research stated, "Synth esizing high-quality novel views is critical to extending training data for auto -driving scenes. However, existing novel view synthesis techniques rely on a sin gle-volume radiance field with uniform spatial resolution, constraining their mo del capacity and resulting in artifacts in synthesized auto-driving views." Financial support for this research came from National Key Research & Development Program of China.

Key words

Xi'an/People's Republic of China/Asia/Robotics and Automation/Robotics/Xi'an Jiaotong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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