Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Entis, Glenn"'
Autor:
Lee, Seung Hyun, Li, Yinxiao, Ke, Junjie, Yoo, Innfarn, Zhang, Han, Yu, Jiahui, Wang, Qifei, Deng, Fei, Entis, Glenn, He, Junfeng, Li, Gang, Kim, Sangpil, Essa, Irfan, Yang, Feng
Recent works have demonstrated that using reinforcement learning (RL) with multiple quality rewards can improve the quality of generated images in text-to-image (T2I) generation. However, manually adjusting reward weights poses challenges and may cau
Externí odkaz:
http://arxiv.org/abs/2401.05675
Autor:
Sohn, Kihyuk, Ruiz, Nataniel, Lee, Kimin, Chin, Daniel Castro, Blok, Irina, Chang, Huiwen, Barber, Jarred, Jiang, Lu, Entis, Glenn, Li, Yuanzhen, Hao, Yuan, Essa, Irfan, Rubinstein, Michael, Krishnan, Dilip
Pre-trained large text-to-image models synthesize impressive images with an appropriate use of text prompts. However, ambiguities inherent in natural language and out-of-distribution effects make it hard to synthesize image styles, that leverage a sp
Externí odkaz:
http://arxiv.org/abs/2306.00983
Autor:
Entis, Glenn
Publikováno v:
Plainsongs (15343820); Winter2022, Vol. 42 Issue 1, p39-39, 1p
Autor:
Chuang, Richard, Entis, Glenn
Publikováno v:
IEEE Computer Graphics & Applications; 1983, Vol. 3 Issue 9, p18-25, 8p
Autor:
Nicoll, Bob, Entis, Glenn, Gilmore, Patrick, Herz, J. C., Pham, Alex, Wright, Will, Perlin, Ken
Publikováno v:
ACM SIGGRAPH 2002 Conference Abstracts & Applications; 7/21/2002, p107-108, 2p
Publikováno v:
Proceedings of the 21st Annual Conference: Computer Graphics & Interactive Techniques; 7/24/1994, p494-495, 2p
Autor:
Entis, Glenn
Publikováno v:
Proceedings of the 6th International Symposium: Non-photorealistic Animation & Rendering; 6/ 9/2008, p7-7, 1p