all AI news
DerainNeRF: 3D Scene Estimation with Adhesive Waterdrop Removal
April 1, 2024, 4:44 a.m. | Yunhao Li, Jing Wu, Lingzhe Zhao, Peidong Liu
cs.CV updates on arXiv.org arxiv.org
Abstract: When capturing images through the glass during rainy or snowy weather conditions, the resulting images often contain waterdrops adhered on the glass surface, and these waterdrops significantly degrade the image quality and performance of many computer vision algorithms. To tackle these limitations, we propose a method to reconstruct the clear 3D scene implicitly from multi-view images degraded by waterdrops. Our method exploits an attention network to predict the location of waterdrops and then train a …
abstract algorithms arxiv computer computer vision cs.cv glass image images limitations performance quality surface through type vision weather
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote