Improving Style Transfer with Calibrated Metrics

[1910.09447] Improving Style Transfer with Calibrated Metrics - arXiv

Title:Improving Style Transfer with Calibrated Metrics ... Abstract:Style transfer methods produce a transferred image which is a rendering of a ...

Improving Style Transfer with Calibrated Metrics - CVF Open Access

Improving Style Transfer with Calibrated Metrics. Mao-Chuang Yeh∗. Shuai Tang∗. Anand Bhattad. Chuhang Zou. David Forsyth. University of Illinois at Urbana ...

stringtron/quantative_style: Improving Style Transfer With Calibrated ...

Improving Style Transfer With Calibrated Metrics. Contribute to stringtron/quantative_style development by creating an account on GitHub.

Improving Style Transfer with Calibrated Metrics - Semantic Scholar

Surprisingly, style weights have relatively little effect in improving EC scores, and most variability in transfer is explained by the style itself (meaning ...

Improving Style Transfer with Calibrated Metrics

Three methods are admissible: Universal style transfer produces very good C but weak E; modifying the optimization used for Gatys' loss produces a method with ...

Improving style transfer with calibrated metrics - Illinois Experts

We seek to understand how to improve style transfer.To do so requires quantitative evaluation procedures, but current evaluation is qualitative, ...

Improving Style Transfer with Calibrated Metrics | Request PDF

... Targets with larger values of the two statistics have better performance. The method is based on works in [2] where E-statistics have been introduced to ...

Improving Style Transfer with Calibrated Metrics

, Improving Style Transfer with Calibrated Metrics ;; Institute of Electrical and Electronics Engineers, author, issuing body. ;, ISBN: 1-7281-6554-7 , 1-7281- ...

Anand Bhattad - Research Assistant Professor

... transfer. 30 ☆ on GitHub. Improved Style Transfer with Calibrated Metrics. Mao Chuang Yeh*, Shuai Tang ...

Memory-enhanced text style transfer with dynamic style learning and ...

DIRR proposes a reward-based training algorithm and uses a semantic similarity metric to enhance content preservation. • TSST [26]. TSST ...

Memory-enhanced text style transfer with dynamic style learning and ...

To address the imbalance between quantity and quality in different content, we further introduce a calibration method to augment memory ...

arXiv:2402.15019v1 [cs.LG] 22 Feb 2024

tion for style- and content-consistency to achieve better OOD calibration performance. ... Arbitrary style transfer in real-time with ...

Style Transfer applied to CT image downscaling: a study case from ...

We can perform this by a novel application of Style Transfer that can insert the heterogeneity pattern of high-resolution (HR) images (CT of 7 ...

Towards efficient image and video style transfer via distillation and ...

Despite the recent rapid development of neural style transfer, existing style transfer methods are still somewhat inefficient or have a large model size, ...

DCT-Net: Domain-Calibrated Translation for Portrait Stylization

Given limited style exemplars ($\sim$100), the new architecture can produce high-quality style transfer results with advanced ability to synthesize high- ...

‪Chuhang Zou‬ - ‪Google 학술 검색‬

Improving style transfer with calibrated metrics. MC Yeh, S Tang, A Bhattad, C Zou, D Forsyth. Proceedings of the IEEE/CVF Winter Conference on Applications of ...

Evaluating the Evaluation Metrics for Style Transfer: A Case Study in ...

While the field of style transfer (ST) has been growing rapidly, it has been hampered by a lack of standardized practices for automatic evaluation. In this ...

DCT-net: domain-calibrated translation for portrait stylization

Given limited style exemplars (~100), the new architecture can produce high-quality style transfer results with advanced ability to synthesize ...

Accepted Main Conference Papers - ACL 2024

Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models ... IMBUE: Improving ...

satellite-image-deep-learning/techniques - GitHub

Remote Sensing Image Classification via Improved Cross-Entropy Loss and Transfer ... style-based recalibration module and improved style discriminator.