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05/25/2023
ProSpect: Expanded Conditioning for the Personalization of Attribute-aware Image Generation
Personalizing generative models offers a way to guide image generation w...
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05/09/2023
Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer
Large-scale text-to-video diffusion models have demonstrated an exceptio...
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03/09/2023
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning
We present Unified Contrastive Arbitrary Style Transfer (UCAST), a novel...
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02/23/2023
Region-Aware Diffusion for Zero-shot Text-driven Image Editing
Image manipulation under the guidance of textual descriptions has recent...
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11/23/2022
Inversion-Based Style Transfer with Diffusion Models
The artistic style within a painting is the means of expression, which i...
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11/19/2022
DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization
Despite the impressive results of arbitrary image-guided style transfer ...
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09/27/2022
Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion
Digital art synthesis is receiving increasing attention in the multimedi...
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05/19/2022
Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning
In this work, we tackle the challenging problem of arbitrary image style...
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12/20/2021
Reciprocal Normalization for Domain Adaptation
Batch normalization (BN) is widely used in modern deep neural networks, ...
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11/08/2021
Content-aware media retargeting based on deep importance map
We present a neural network to estimate the visual information of import...
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08/03/2021
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Vision transformers have recently received explosive popularity, but the...
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06/14/2021
User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning
Personalized image aesthetic assessment (PIAA) has recently become a hot...
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05/30/2021
StyTr^2: Unbiased Image Style Transfer with Transformers
The goal of image style transfer is to render an image with artistic fea...
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04/29/2021
Towards Harmonized Regional Style Transfer and Manipulation for Facial Images
Regional facial image synthesis conditioned on semantic mask has achieve...
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04/21/2021
Towards Corruption-Agnostic Robust Domain Adaptation
Big progress has been achieved in domain adaptation in decades. Existing...
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03/25/2021
On Evolving Attention Towards Domain Adaptation
Towards better unsupervised domain adaptation (UDA). Recently, researche...
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03/08/2021
Unveiling the Potential of Structure-Preserving for Weakly Supervised Object Localization
Weakly supervised object localization remains an open problem due to the...
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12/04/2020
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation
Semi-supervised domain adaptation (SSDA) methods have demonstrated great...
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09/17/2020
Arbitrary Video Style Transfer via Multi-Channel Correlation
Video style transfer is getting more attention in AI community for its n...
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06/02/2020
Distribution Aligned Multimodal and Multi-Domain Image Stylization
Multimodal and multi-domain stylization are two important problems in th...
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05/27/2020
Arbitrary Style Transfer via Multi-Adaptation Network
Arbitrary style transfer is a significant topic with both research value...
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05/20/2020
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
Object detection has achieved remarkable progress in the past decade. Ho...
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02/26/2020
Multi-Attribute Guided Painting Generation
Controllable painting generation plays a pivotal role in image stylizati...
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11/26/2019
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning
Visual aesthetic assessment has been an active research field for decade...
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07/05/2019
Incremental Concept Learning via Online Generative Memory Recall
The ability to learn more and more concepts over time from incrementally...
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05/15/2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
In this work, we propose a novel meta-learning approach for few-shot cla...
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12/19/2018
"Ge Shu Zhi Zhi": Towards Deep Understanding about Worlds
"Ge She Zhi Zhi" is a novel saying in Chinese, stated as "To investigate...
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02/12/2018
Image Retargetability
Real-world applications could benefit from the ability to automatically ...
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03/26/2014
Image Retargeting by Content-Aware Synthesis
Real-world images usually contain vivid contents and rich textural detai...
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08/02/2013