Contextual Outpainting with Object-Level Contrastive Learning
Author:
Affiliation:
1. University of Science and Technology of China
2. Huawei Technologies Co., Ltd.,Noah's Ark Lab
Funder
National Key R&D Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09878456.pdf?arnumber=9878456
Reference72 articles.
1. Learning semantic-aware normalization for generative adversarial networks;zheng;NeurIPS,2020
2. Pluralistic Image Completion
3. UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation
4. Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE
5. Context Encoders: Feature Learning by Inpainting
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2. RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
3. Semantic-Aware Dynamic Parameter for Video Inpainting Transformer;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
4. CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
5. Boosting Video Object Segmentation via Space-Time Correspondence Learning;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
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