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Contrastive Coherence Preserving Loss for Versatile Style Transfer

Contrastive Coherence Preserving Loss for Versatile Style Transfer

Contrastive Coherence Preserving Loss for Versatile Style Transfer

CCPL can preserve the coherence of the content source during style transfer without degrading stylization. Moreover, it owns a neighbor- ...

Contrastive Coherence Preserving Loss for Versatile Style Transfer

CCPL can preserve the coherence of the content source during style transfer without degrading stylization. Moreover, it owns a neighbor- regulating mechanism, ...

JarrentWu1031/CCPL: [ECCV 2022 Oral] Official Pytorch ... - GitHub

@inproceedings{wu2022ccpl, title={CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer}, author={Wu, Zijie and Zhu, Zhen and Du, ...

Contrastive Coherence Preserving Loss for Versatile Style Transfer

We propose Contrastive Coherence Preserving Loss (CCPL) for versatile style transfer. It encourages consistency between the content image and ...

CCPL: Contrastive Coherence Preserving Loss for Versatile Style ...

CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer. 3. Neighbor-sampling strategies: a b c. Anchor vector. Neighboring vector. Vector.

CCPL: Contrastive Coherence Preserving Loss for Versatile Style ...

CCPL can preserve the coherence of the content source during style transfer without degrading stylization. Moreover, it owns a neighbor-regulating mechanism, ...

Contrastive Coherence Preserving Loss for Versatile Style Transfer

PDF | In this paper, we aim to devise a universally versatile style transfer method capable of performing artistic, photo-realistic, and video style.

Contrastive Coherence Preserving Loss for Versatile Style Transfer

This paper makes a mild and reasonable assumption that global inconsistency is dominated by local inconsistencies and devise a generic ...

Contrastive Coherence Preserving Loss for Versatile Style Transfer

... ... CCPL [16] proposed a contrastive coherence-preserving loss, which keeps the generated video stable by pulling the feature vectors in the nearest neighbors ...

Contrastive Coherence Preserving Loss for Versatile Style Transfer

Video demonstration for our paper: CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer, which is accepted by ECCV-2022 ...

CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer

[39] apply contrastive learning by incorporating neighbor-regulating scheme to preserve the coherence of the content source for artistic and photorealistic ...

Video Style Transfer | Papers With Code

CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer · JarrentWu1031/CCPL • • 11 Jul 2022. CCPL can preserve the coherence of the content ...

Rethink Arbitrary Style Transfer with Transformer and Contrastive ...

(Wu et al., 2022) devise a generic contrastive coherence preserving loss to learn local patches. Recently, OpenAI's Contrastive Learning-Image ...

jarrentwu1031/ccpl – API reference - Replicate

Contrastive Coherence Preserving Loss for Versatile Style Transfer.

A Comprehensive Approach for Video Style Transfer - Atlantis Press

To preserve the artistic style inherent in the style video, I leverage the style loss ... CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer ...

[PDF] Stereoscopic Neural Style Transfer - Semantic Scholar

CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer · Zijie WuZhen ZhuJunping DuXiang Bai. Computer Science. ECCV. 2022. TLDR. This paper ...

jarrentwu1031/ccpl – Run with an API on Replicate

Contrastive Coherence Preserving Loss for Versatile Style Transfer.

Arbitrary style transfer based on Attention and Covariance-Matching

Learning linear transformations for fast image and video style transfer. WuZ. et al. CCPL: Contrastive coherence preserving loss for versatile style transfer.

A Unified Arbitrary Style Transfer Framework via Adaptive ...

CCPL: Contrastive coherence preserving loss for versatile style transfer. In Proceedings of the European Conference on Computer Vision (ECCV). Springer, 189 ...

风格迁移篇--CCPL：Contrastive Coherence Preserving Loss for ...

风格迁移篇--CCPL：Contrastive Coherence Preserving Loss for Versatile Style Transfer多功能风格转换的对比连贯保持损失 原创. 最新推荐文章于 2024- ...