activity
20182023
most citedMS-NeRF: Multi-Space Neural Radiance Fields

2 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 2 cited

MS-NeRF: Multi-Space Neural Radiance Fields

Ze-Xin Yin, Peng-Yi Jiao, Jiaxiong Qiu +2

Existing Neural Radiance Fields (NeRF) methods suffer from the existence of reflective objects, often resulting in blurry or distorted rendering. Instead of calculating a single ra…

cs.CV2023

Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections

Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu +3

Neural implicit methods have achieved high-quality 3D object surfaces under slight specular highlights. However, high specular reflections (HSR) often appear in front of target obj…

cs.CV2021

NTIRE 2021 Depth Guided Image Relighting Challenge

Majed El Helou, Ruofan Zhou, Sabine Susstrunk +1

Image relighting is attracting increasing interest due to its various applications. From a research perspective, image relighting can be exploited to conduct both image normalizati…

cs.CV2019★ 1 cited

DeepBlindness: Fast Blindness Map Estimation and Blindness Type Classification for Outdoor Scene from Single Color Image

Jiaxiong Qiu, Xinyuan Yu, Guoqiang Yang +1

Outdoor vision robotic systems and autonomous cars suffer from many image-quality issues, particularly haze, defocus blur, and motion blur, which we will define generically as "bli…

cs.CV2018

DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image

Jiaxiong Qiu, Zhaopeng Cui, Yinda Zhang +4

In this paper, we propose a deep learning architecture that produces accurate dense depth for the outdoor scene from a single color image and a sparse depth. Inspired by the indoor…