Zobrazeno 1 - 10
of 1 783
pro vyhledávání: '"A. Lassner"'
Autor:
Tripathi, Shashank, Taheri, Omid, Lassner, Christoph, Black, Michael J., Holden, Daniel, Stoll, Carsten
Generating realistic human motion is essential for many computer vision and graphics applications. The wide variety of human body shapes and sizes greatly impacts how people move. However, most existing motion models ignore these differences, relying
Externí odkaz:
http://arxiv.org/abs/2409.03944
In recent years, the development of Neural Radiance Fields has enabled a previously unseen level of photo-realistic 3D reconstruction of scenes and objects from multi-view camera data. However, previous methods use an oversimplified pinhole camera mo
Externí odkaz:
http://arxiv.org/abs/2406.10633
Autor:
Tretschk, Edith, Golyanik, Vladislav, Zollhoefer, Michael, Bozic, Aljaz, Lassner, Christoph, Theobalt, Christian
Existing methods for the 4D reconstruction of general, non-rigidly deforming objects focus on novel-view synthesis and neglect correspondences. However, time consistency enables advanced downstream tasks like 3D editing, motion analysis, or virtual-a
Externí odkaz:
http://arxiv.org/abs/2308.08258
Autor:
Zhu, Shizhan, Saito, Shunsuke, Bozic, Aljaz, Aliaga, Carlos, Darrell, Trevor, Lassner, Christoph
Reconstructing and relighting objects and scenes under varying lighting conditions is challenging: existing neural rendering methods often cannot handle the complex interactions between materials and light. Incorporating pre-computed radiance transfe
Externí odkaz:
http://arxiv.org/abs/2306.09322
Recent methods for 3D reconstruction and rendering increasingly benefit from end-to-end optimization of the entire image formation process. However, this approach is currently limited: effects of the optical hardware stack and in particular lenses ar
Externí odkaz:
http://arxiv.org/abs/2304.04848
Creating realistic virtual assets is a time-consuming process: it usually involves an artist designing the object, then spending a lot of effort on tweaking its appearance. Intricate details and certain effects, such as subsurface scattering, elude r
Externí odkaz:
http://arxiv.org/abs/2212.06125
Autor:
Ranade, Siddhant, Lassner, Christoph, Li, Kai, Haene, Christian, Chen, Shen-Chi, Bazin, Jean-Charles, Bouaziz, Sofien
Neural Radiance Fields (NeRFs) encode the radiance in a scene parameterized by the scene's plenoptic function. This is achieved by using an MLP together with a mapping to a higher-dimensional space, and has been proven to capture scenes with a great
Externí odkaz:
http://arxiv.org/abs/2212.03406
Autor:
Wang, Ziyan, Nam, Giljoo, Stuyck, Tuur, Lombardi, Stephen, Cao, Chen, Saragih, Jason, Zollhoefer, Michael, Hodgins, Jessica, Lassner, Christoph
The capture and animation of human hair are two of the major challenges in the creation of realistic avatars for the virtual reality. Both problems are highly challenging, because hair has complex geometry and appearance, as well as exhibits challeng
Externí odkaz:
http://arxiv.org/abs/2212.00613
Complementary to finding good general word embeddings, an important question for representation learning is to find dynamic word embeddings, e.g., across time or domain. Current methods do not offer a way to use or predict information on structure be
Externí odkaz:
http://arxiv.org/abs/2210.04962
Autor:
Li, Ruilong, Tanke, Julian, Vo, Minh, Zollhofer, Michael, Gall, Jurgen, Kanazawa, Angjoo, Lassner, Christoph
Coordinate-based volumetric representations have the potential to generate photo-realistic virtual avatars from images. However, virtual avatars also need to be controllable even to a novel pose that may not have been observed. Traditional techniques
Externí odkaz:
http://arxiv.org/abs/2206.08929