Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Singh, Jaskirat"'
This paper studies how to synthesize face images of non-existent persons, to create a dataset that allows effective training of face recognition (FR) models. Two important goals are (1) the ability to generate a large number of distinct identities (i
Externí odkaz:
http://arxiv.org/abs/2409.02979
Autor:
Wang, Xingyao, Li, Boxuan, Song, Yufan, Xu, Frank F., Tang, Xiangru, Zhuge, Mingchen, Pan, Jiayi, Song, Yueqi, Li, Bowen, Singh, Jaskirat, Tran, Hoang H., Li, Fuqiang, Ma, Ren, Zheng, Mingzhang, Qian, Bill, Shao, Yanjun, Muennighoff, Niklas, Zhang, Yizhe, Hui, Binyuan, Lin, Junyang, Brennan, Robert, Peng, Hao, Ji, Heng, Neubig, Graham
Software is one of the most powerful tools that we humans have at our disposal; it allows a skilled programmer to interact with the world in complex and profound ways. At the same time, thanks to improvements in large language models (LLMs), there ha
Externí odkaz:
http://arxiv.org/abs/2407.16741
Large language models (LLMs) have shown great progress in responding to user questions, allowing for a multitude of diverse applications. Yet, the quality of LLM outputs heavily depends on the prompt design, where a good prompt might enable the LLM t
Externí odkaz:
http://arxiv.org/abs/2405.20252
Deciding what combination of operators to use across the Edge AI tiers to achieve specific latency and model performance requirements is an open question for MLOps engineers. This study aims to empirically assess the accuracy vs inference time trade-
Externí odkaz:
http://arxiv.org/abs/2403.17154
The field of generative image inpainting and object insertion has made significant progress with the recent advent of latent diffusion models. Utilizing a precise object mask can greatly enhance these applications. However, due to the challenges user
Externí odkaz:
http://arxiv.org/abs/2312.05039
Autor:
Yang, Zhaoyuan, Yu, Zhengyang, Xu, Zhiwei, Singh, Jaskirat, Zhang, Jing, Campbell, Dylan, Tu, Peter, Hartley, Richard
We present a diffusion-based image morphing approach with perceptually-uniform sampling (IMPUS) that produces smooth, direct and realistic interpolations given an image pair. The embeddings of two images may lie on distinct conditioned distributions
Externí odkaz:
http://arxiv.org/abs/2311.06792
Autor:
Singh, Jaskirat, Singh, Manjit
Publikováno v:
International Journal of Social Economics, 2024, Vol. 51, Issue 10, pp. 1314-1335.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJSE-07-2023-0514
Autor:
Singh, Jaskirat, Zheng, Liang
Publikováno v:
Published at NeurIPS 2023
The field of text-conditioned image generation has made unparalleled progress with the recent advent of latent diffusion models. While remarkable, as the complexity of given text input increases, the state-of-the-art diffusion models may still fail i
Externí odkaz:
http://arxiv.org/abs/2307.04749
Autor:
Tu, Peter, Yang, Zhaoyuan, Hartley, Richard, Xu, Zhiwei, Zhang, Jing, Fu, Yiwei, Campbell, Dylan, Singh, Jaskirat, Wang, Tianyu
This paper begins with a description of methods for estimating image probability density functions that reflects the observation that such data is usually constrained to lie in restricted regions of the high-dimensional image space-not every pattern
Externí odkaz:
http://arxiv.org/abs/2307.02881
Controllable image synthesis with user scribbles has gained huge public interest with the recent advent of text-conditioned latent diffusion models. The user scribbles control the color composition while the text prompt provides control over the over
Externí odkaz:
http://arxiv.org/abs/2211.17084