Search Results for author: Chenyang Lei

Found 10 papers, 8 papers with code

Deep Video Prior for Video Consistency and Propagation

1 code implementation27 Jan 2022 Chenyang Lei, Yazhou Xing, Hao Ouyang, Qifeng Chen

A progressive propagation strategy with pseudo labels is also proposed to enhance DVP's performance on video propagation.

Optical Flow Estimation Semantic Segmentation +1

Shape from Polarization for Complex Scenes in the Wild

1 code implementation CVPR 2022 Chenyang Lei, Chenyang Qi, Jiaxin Xie, Na Fan, Vladlen Koltun, Qifeng Chen

We present a new data-driven approach with physics-based priors to scene-level normal estimation from a single polarization image.

Towards Photorealistic Colorization by Imagination

no code implementations20 Aug 2021 Chenyang Lei, Yue Wu, Qifeng Chen

We present a novel approach to automatic image colorization by imitating the imagination process of human experts.

Colorization Image Generation

A Categorized Reflection Removal Dataset with Diverse Real-world Scenes

no code implementations7 Aug 2021 Chenyang Lei, Xuhua Huang, Chenyang Qi, Yankun Zhao, Wenxiu Sun, Qiong Yan, Qifeng Chen

Due to the lack of a large-scale reflection removal dataset with diverse real-world scenes, many existing reflection removal methods are trained on synthetic data plus a small amount of real-world data, which makes it difficult to evaluate the strengths or weaknesses of different reflection removal methods thoroughly.

Reflection Removal

Neural Camera Simulators

1 code implementation CVPR 2021 Hao Ouyang, Zifan Shi, Chenyang Lei, Ka Lung Law, Qifeng Chen

To facilitate the learning of a simulator model, we collect a dataset of the 10, 000 raw images of 450 scenes with different exposure settings.

Data Augmentation

Robust Reflection Removal with Reflection-free Flash-only Cues

1 code implementation CVPR 2021 Chenyang Lei, Qifeng Chen

The flash-only image is equivalent to an image taken in a dark environment with only a flash on.

Reflection Removal SSIM

Blind Video Temporal Consistency via Deep Video Prior

2 code implementations NeurIPS 2020 Chenyang Lei, Yazhou Xing, Qifeng Chen

Extensive quantitative and perceptual experiments show that our approach obtains superior performance than state-of-the-art methods on blind video temporal consistency.

Colorization Image Dehazing +3

Video Depth Estimation by Fusing Flow-to-Depth Proposals

1 code implementation30 Dec 2019 Jiaxin Xie, Chenyang Lei, Zhuwen Li, Li Erran Li, Qifeng Chen

Our flow-to-depth layer is differentiable, and thus we can refine camera poses by maximizing the aggregated confidence in the camera pose refinement module.

Depth Estimation Optical Flow Estimation

Fully Automatic Video Colorization with Self-Regularization and Diversity

4 code implementations CVPR 2019 Chenyang Lei, Qifeng Chen

We present a fully automatic approach to video colorization with self-regularization and diversity.


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