Zobrazeno 1 - 10
of 917
pro vyhledávání: '"A. Brualla"'
Autor:
Zhao, Xiaoming, Srinivasan, Pratul P., Verbin, Dor, Park, Keunhong, Brualla, Ricardo Martin, Henzler, Philipp
Existing methods for relightable view synthesis -- using a set of images of an object under unknown lighting to recover a 3D representation that can be rendered from novel viewpoints under a target illumination -- are based on inverse rendering, and
Externí odkaz:
http://arxiv.org/abs/2406.06527
Autor:
Gao, Ruiqi, Holynski, Aleksander, Henzler, Philipp, Brussee, Arthur, Martin-Brualla, Ricardo, Srinivasan, Pratul, Barron, Jonathan T., Poole, Ben
Advances in 3D reconstruction have enabled high-quality 3D capture, but require a user to collect hundreds to thousands of images to create a 3D scene. We present CAT3D, a method for creating anything in 3D by simulating this real-world capture proce
Externí odkaz:
http://arxiv.org/abs/2405.10314
Autor:
Engelhardt, Andreas, Raj, Amit, Boss, Mark, Zhang, Yunzhi, Kar, Abhishek, Li, Yuanzhen, Sun, Deqing, Brualla, Ricardo Martin, Barron, Jonathan T., Lensch, Hendrik P. A., Jampani, Varun
We present SHINOBI, an end-to-end framework for the reconstruction of shape, material, and illumination from object images captured with varying lighting, pose, and background. Inverse rendering of an object based on unconstrained image collections i
Externí odkaz:
http://arxiv.org/abs/2401.10171
Autor:
R. Soler-Agesta, R. Moreno-Loshuertos, C. Y. Yim, M. T. Congenie, T. D. Ames, H. L. Johnson, F. Stossi, M. G. Mancini, M. A. Mancini, C. Ripollés-Yuba, J. Marco-Brualla, C. Junquera, R. Martínez-De-Mena, J. A. Enríquez, M. R. Price, J. Jimeno, A. Anel
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-17 (2024)
Abstract PT-112 is a novel immunogenic cell death (ICD)-inducing small molecule currently under Phase 2 clinical development, including in metastatic castration-resistant prostate cancer (mCRPC), an immunologically cold and heterogeneous disease stat
Externí odkaz:
https://doaj.org/article/9351aa422171490a9a65369e4a68ed72
Autor:
Park, Keunhong, Henzler, Philipp, Mildenhall, Ben, Barron, Jonathan T., Martin-Brualla, Ricardo
Neural Radiance Fields (NeRF) can be optimized to obtain high-fidelity 3D scene reconstructions of objects and large-scale scenes. However, NeRFs require accurate camera parameters as input -- inaccurate camera parameters result in blurry renderings.
Externí odkaz:
http://arxiv.org/abs/2308.10902
Autor:
Jampani, Varun, Maninis, Kevis-Kokitsi, Engelhardt, Andreas, Karpur, Arjun, Truong, Karen, Sargent, Kyle, Popov, Stefan, Araujo, André, Martin-Brualla, Ricardo, Patel, Kaushal, Vlasic, Daniel, Ferrari, Vittorio, Makadia, Ameesh, Liu, Ce, Li, Yuanzhen, Zhou, Howard
Recent advances in neural reconstruction enable high-quality 3D object reconstruction from casually captured image collections. Current techniques mostly analyze their progress on relatively simple image collections where Structure-from-Motion (SfM)
Externí odkaz:
http://arxiv.org/abs/2306.09109
Neural radiance fields (NeRFs) have enabled high fidelity 3D reconstruction from multiple 2D input views. However, a well-known drawback of NeRFs is the less-than-ideal performance under a small number of views, due to insufficient constraints enforc
Externí odkaz:
http://arxiv.org/abs/2303.13582
Finding localized correspondences across different images of the same object is crucial to understand its geometry. In recent years, this problem has seen remarkable progress with the advent of deep learning-based local image features and learnable m
Externí odkaz:
http://arxiv.org/abs/2303.12779
Autor:
Watson, Daniel, Chan, William, Martin-Brualla, Ricardo, Ho, Jonathan, Tagliasacchi, Andrea, Norouzi, Mohammad
We present 3DiM, a diffusion model for 3D novel view synthesis, which is able to translate a single input view into consistent and sharp completions across many views. The core component of 3DiM is a pose-conditional image-to-image diffusion model, w
Externí odkaz:
http://arxiv.org/abs/2210.04628
Autor:
Taro Nojiri, Masaki Takechi, Toshiko Furutera, Nicolas L. M. Brualla, Sachiko Iseki, Dai Fukui, Vuong Tan Tu, Fumiya Meguro, Daisuke Koyabu
Publikováno v:
EvoDevo, Vol 15, Iss 1, Pp 1-28 (2024)
Abstract Background The hyolaryngeal apparatus generates biosonar pulses in the laryngeally echolocating bats. The cartilage and muscles comprising the hyolarynx of laryngeally echolocating bats are morphologically modified compared to those of non-b
Externí odkaz:
https://doaj.org/article/f58daadd7cd44158bf8b99e45dbb23b9