Zobrazeno 1 - 10
of 1 298
pro vyhledávání: '"Singh, Krishna P."'
Autor:
Yoon, Jae Shin, Shu, Zhixin, Ren, Mengwei, Zhang, Xuaner, Hold-Geoffroy, Yannick, Singh, Krishna Kumar, Zhang, He
We introduce a high-fidelity portrait shadow removal model that can effectively enhance the image of a portrait by predicting its appearance under disturbing shadows and highlights. Portrait shadow removal is a highly ill-posed problem where multiple
Externí odkaz:
http://arxiv.org/abs/2410.05525
Autor:
Li, Yuheng, Liu, Haotian, Cai, Mu, Li, Yijun, Shechtman, Eli, Lin, Zhe, Lee, Yong Jae, Singh, Krishna Kumar
In this paper, we introduce a model designed to improve the prediction of image-text alignment, targeting the challenge of compositional understanding in current visual-language models. Our approach focuses on generating high-quality training dataset
Externí odkaz:
http://arxiv.org/abs/2410.00905
Autor:
Jiang, Yuming, Zhao, Nanxuan, Liu, Qing, Singh, Krishna Kumar, Yang, Shuai, Loy, Chen Change, Liu, Ziwei
Group portrait editing is highly desirable since users constantly want to add a person, delete a person, or manipulate existing persons. It is also challenging due to the intricate dynamics of human interactions and the diverse gestures. In this work
Externí odkaz:
http://arxiv.org/abs/2409.14379
In this work, we present a comparative study between continuous-wave (CW) and pulsed optical tweezers for 250 nm, 500 nm and 1-micron radius polystyrene beads at 5 different laser powers. We have used a Ti:Sapphire (MIRA 900F) laser that can be easil
Externí odkaz:
http://arxiv.org/abs/2408.10451
Autor:
Pan, Boxiao, Xu, Zhan, Huang, Chun-Hao Paul, Singh, Krishna Kumar, Zhou, Yang, Guibas, Leonidas J., Yang, Jimei
Generating video background that tailors to foreground subject motion is an important problem for the movie industry and visual effects community. This task involves synthesizing background that aligns with the motion and appearance of the foreground
Externí odkaz:
http://arxiv.org/abs/2401.10822
Autor:
Li, Nannan, Liu, Qing, Singh, Krishna Kumar, Wang, Yilin, Zhang, Jianming, Plummer, Bryan A., Lin, Zhe
Human image editing includes tasks like changing a person's pose, their clothing, or editing the image according to a text prompt. However, prior work often tackles these tasks separately, overlooking the benefit of mutual reinforcement from learning
Externí odkaz:
http://arxiv.org/abs/2312.14985
Despite recent significant strides achieved by diffusion-based Text-to-Image (T2I) models, current systems are still less capable of ensuring decent compositional generation aligned with text prompts, particularly for the multi-object generation. Thi
Externí odkaz:
http://arxiv.org/abs/2312.06712
Microscopic thermodynamic studies can elucidate specific molecular interactions. In this work, we report the microscopic thermodynamics in binary liquid mixtures, which elucidate the role of molecular structure in nonlinear solvent response using fem
Externí odkaz:
http://arxiv.org/abs/2309.05385
In Federated Learning, model training is performed across multiple computing devices, where only parameters are shared with a common central server without exchanging their data instances. This strategy assumes abundance of resources on individual cl
Externí odkaz:
http://arxiv.org/abs/2309.00864