25 citations · 38 across the 6 of their papers we have counts for
6 papers
MarkCleaner: High-Fidelity Watermark Removal via Imperceptible Micro-Geometric Perturbation
Xiaoxi Kong, Jieyu Yuan, Pengdi Chen +3
Semantic watermarks exhibit strong robustness against conventional image-space attacks. In this work, we show that such robustness does not survive under micro-geometric perturbati…
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields
Tang Tao, Longfei Gao, Guangrun Wang +7
We introduce a new task, novel view synthesis for LiDAR sensors. While traditional model-based LiDAR simulators with style-transfer neural networks can be applied to render novel v…
DEHRFormer: Real-time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes
Sixiang Chen, Tian Ye, Jun Shi +4
Varicolored haze caused by chromatic casts poses haze removal and depth estimation challenges. Recent learning-based depth estimation methods are mainly targeted at dehazing first…
MSP-Former: Multi-Scale Projection Transformer for Single Image Desnowing
Sixiang Chen, Tian Ye, Yun Liu +4
Snow removal causes challenges due to its characteristic of complex degradations. To this end, targeted treatment of multi-scale snow degradations is critical for the network to le…
Perceiving and Modeling Density is All You Need for Image Dehazing
Tian Ye, Mingchao Jiang, Yunchen Zhang +4
In the real world, the degradation of images taken under haze can be quite complex, where the spatial distribution of haze is varied from image to image. Recent methods adopt deep…
Efficient Re-parameterization Residual Attention Network For Nonhomogeneous Image Dehazing
Tian Ye, ErKang Chen, XinRui Huang +1
This paper proposes an end-to-end Efficient Re-parameterizationResidual Attention Network(ERRA-Net) to directly restore the nonhomogeneous hazy image. The contribution of this pape…