Zobrazeno 1 - 10
of 7 821
pro vyhledávání: '"JACOBS, DAVID"'
Publikováno v:
Peer Community Journal, Vol 3, Iss , Pp - (2023)
Coastal lagoons are an important habitat for endemic and threatened species in California that have suffered impacts from urbanization and increased drought. Environmental DNA has been promoted as a way to aid in the monitoring of biological communit
Externí odkaz:
https://doaj.org/article/89884c5fea454600a434d8f52ab5debb
Autor:
Ruiz, Nataniel, Li, Yuanzhen, Wadhwa, Neal, Pritch, Yael, Rubinstein, Michael, Jacobs, David E., Fruchter, Shlomi
We present Magic Insert, a method for dragging-and-dropping subjects from a user-provided image into a target image of a different style in a physically plausible manner while matching the style of the target image. This work formalizes the problem o
Externí odkaz:
http://arxiv.org/abs/2407.02489
Autor:
McAllister, David, Ge, Songwei, Huang, Jia-Bin, Jacobs, David W., Efros, Alexei A., Holynski, Aleksander, Kanazawa, Angjoo
Score distillation sampling (SDS) has proven to be an important tool, enabling the use of large-scale diffusion priors for tasks operating in data-poor domains. Unfortunately, SDS has a number of characteristic artifacts that limit its usefulness in
Externí odkaz:
http://arxiv.org/abs/2406.09417
Autor:
Rawal, Ruchit, Saifullah, Khalid, Basri, Ronen, Jacobs, David, Somepalli, Gowthami, Goldstein, Tom
Current datasets for long-form video understanding often fall short of providing genuine long-form comprehension challenges, as many tasks derived from these datasets can be successfully tackled by analyzing just one or a few random frames from a vid
Externí odkaz:
http://arxiv.org/abs/2405.08813
In this paper, we present GaNI, a Global and Near-field Illumination-aware neural inverse rendering technique that can reconstruct geometry, albedo, and roughness parameters from images of a scene captured with co-located light and camera. Existing i
Externí odkaz:
http://arxiv.org/abs/2403.15651
Autor:
Pope, Phillip, Jacobs, David
The Kohn-Sham equations underlie many important applications such as the discovery of new catalysts. Recent machine learning work on catalyst modeling has focused on prediction of the energy, but has so far not yet demonstrated significant out-of-dis
Externí odkaz:
http://arxiv.org/abs/2310.18702
Autor:
Tang, Luming, Ruiz, Nataniel, Chu, Qinghao, Li, Yuanzhen, Holynski, Aleksander, Jacobs, David E., Hariharan, Bharath, Pritch, Yael, Wadhwa, Neal, Aberman, Kfir, Rubinstein, Michael
Recent advances in generative imagery have brought forth outpainting and inpainting models that can produce high-quality, plausible image content in unknown regions. However, the content these models hallucinate is necessarily inauthentic, since they
Externí odkaz:
http://arxiv.org/abs/2309.16668
Autor:
Jacobs, David M., Horbatsch, Marko
Publikováno v:
J. Phys. B: At. Mol. Opt. Phys. 56 185002 (2023)
Atomic hydrogen energy levels calculated to high precision are required to assist experimental researchers working on spectroscopy in the pursuit of testing quantum electrodynamics (QED) and probing for physics beyond the Standard Model. There are tw
Externí odkaz:
http://arxiv.org/abs/2308.14003
Publikováno v:
ACM Trans. Graph. 42, 4, Article 48 (August 2023)
Long exposure photography produces stunning imagery, representing moving elements in a scene with motion-blur. It is generally employed in two modalities, producing either a foreground or a background blur effect. Foreground blur images are tradition
Externí odkaz:
http://arxiv.org/abs/2308.01379