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Works17 from public data
- Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond79
Flare7K++ is introduced, the first comprehensive nighttime flare removal dataset, consisting of 962 real-captured flare images (Flare-R) and 7000 synthetic flares (Flare7K), and a new end-to-end pipeline to preserve the light source while removing lens flares.
- Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior50
This work proposes an optical center symmetry prior, which suggests that the reflective flare and light source are always symmetrical around the lens's optical center, and creates the first reflective flare removal dataset called BracketFlare, which contains diverse and realistic reflective flare patterns.
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- Learning Inclusion Matching for Animation Paint Bucket Colorization26
This work introduces a new learning-based inclusion matching pipeline, which directs the network to comprehend the inclusion relationships between segments rather than relying solely on direct visual correspondences, enabling more nuanced and accurate colorization.
- BeautyREC: Robust, Efficient, and Component-Specific Makeup Transfer23
The key insights of this study are modeling component-specific correspondence for local makeup transfer, capturing long-range dependencies for global makeupTransfer, and enabling efficient makeup transfer via a single-path structure.
- MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results18
The developed solutions in this challenge achieved state-of-the-art performance on Nighttime Flare Removal and a detailed description of all models developed is provided in this paper.
- MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results15
The developed solutions in this challenge achieved state-of-the-art performance on Few-shot RAW Image Denoising and were summarized and reviewed in this paper.
- MIPI 2024 Challenge on Demosaic for Hybridevs Camera: Methods and Results9
A total of 110 participants from both industrial and academic backgrounds contributed many valuable solutions to address the difficulty of the restoration of HybridEVS’s raw data, thus raising the reconstructed performance to a new height.
- MIPI 2023 Challenge on RGBW Remosaic: Methods and Results8
This paper summarizes and reviews the RGBW Joint Remosaic and Denoise track on MIPI 2023, and describes the top three models developed in this challenge.
- Trans-Adapter: A Plug-And-Play Framework for Transparent Image Inpainting7
This work proposes Trans-Adapter, a plug-and-play adapter that enables diffusion-based inpainting models to process transparent images directly and introduces LayerBench, a novel non-reference alpha edge quality evaluation metric for assessing transparency edge quality.
- Paint Bucket Colorization Using Anime Character Color Design Sheets6
This work introduces inclusion matching, which allows the network to understand the inclusion relationships between segments, rather than relying solely on direct visual correspondences, and significantly improves performance in both keyframe colorization and consecutive frame colorization.
- MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results6
The results of the competition are presented, the strengths and weaknesses of the top-performing methods are analyzed, and the implications of the findings for future research in RGB+sparse ToF depth completion are discussed.
- MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results4
The developed solutions in this challenge achieved state-of-the-art performance on Nighttime Flare Removal and the developed solutions in this challenge achieved state-of-the-art performance on Nighttime Flare Removal.
- BeautyREC: Robust, Efficient, and Content-preserving Makeup Transfer4
In what follows, this work details the network structure and parameters, including contentEncoder, style encoder, componentspecific correspondence, long-range dependencies, and image reconstruction, including how the component-specific transferred features and the global transferred features are concatenated with the corresponding decoder features.
- MIPI 2023 Challenge on RGBW Fusion: Methods and Results3
This paper summarizes and reviews the RGBW Joint Fusion and Denoise track on MIPI 2023 and describes the models developed in this challenge, including PSNR, SSIM, LPIPS, and KLD.
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