Zobrazeno 1 - 10
of 6 523
pro vyhledávání: '"Beeler A"'
Autor:
Zhang, Wanyue, Dabral, Rishabh, Golyanik, Vladislav, Choutas, Vasileios, Alvarado, Eduardo, Beeler, Thabo, Habermann, Marc, Theobalt, Christian
We present BimArt, a novel generative approach for synthesizing 3D bimanual hand interactions with articulated objects. Unlike prior works, we do not rely on a reference grasp, a coarse hand trajectory, or separate modes for grasping and articulating
Externí odkaz:
http://arxiv.org/abs/2412.05066
Autor:
Bednarik, Jan, Wood, Erroll, Choutas, Vasileios, Bolkart, Timo, Wang, Daoye, Wu, Chenglei, Beeler, Thabo
Nowadays, it is possible to scan faces and automatically register them with high quality. However, the resulting face meshes often need further processing: we need to stabilize them to remove unwanted head movement. Stabilization is important for tas
Externí odkaz:
http://arxiv.org/abs/2411.15074
Autor:
Zhang, Cheng, Wang, Yuanhao, Carrasco, Francisco Vicente, Wu, Chenglei, Yang, Jinlong, Beeler, Thabo, De la Torre, Fernando
We introduce FabricDiffusion, a method for transferring fabric textures from a single clothing image to 3D garments of arbitrary shapes. Existing approaches typically synthesize textures on the garment surface through 2D-to-3D texture mapping or dept
Externí odkaz:
http://arxiv.org/abs/2410.01801
Autor:
Bühler, Marcel C., Li, Gengyan, Wood, Erroll, Helminger, Leonhard, Chen, Xu, Shah, Tanmay, Wang, Daoye, Garbin, Stephan, Orts-Escolano, Sergio, Hilliges, Otmar, Lagun, Dmitry, Riviere, Jérémy, Gotardo, Paulo, Beeler, Thabo, Meka, Abhimitra, Sarkar, Kripasindhu
Volumetric modeling and neural radiance field representations have revolutionized 3D face capture and photorealistic novel view synthesis. However, these methods often require hundreds of multi-view input images and are thus inapplicable to cases wit
Externí odkaz:
http://arxiv.org/abs/2410.00630
Autor:
Chen, Jianchun, Wang, Jian, Zhang, Yinda, Pandey, Rohit, Beeler, Thabo, Habermann, Marc, Theobalt, Christian
Immersive VR telepresence ideally means being able to interact and communicate with digital avatars that are indistinguishable from and precisely reflect the behaviour of their real counterparts. The core technical challenge is two fold: Creating a d
Externí odkaz:
http://arxiv.org/abs/2410.01835
Autor:
Ferracina, Fabiana, Beeler, Payton, Halappanavar, Mahantesh, Krishnamoorthy, Bala, Minutoli, Marco, Fierce, Laura
Aerosol effects on climate, weather, and air quality depend on characteristics of individual particles, which are tremendously diverse and change in time. Particle-resolved models are the only models able to capture this diversity in particle physioc
Externí odkaz:
http://arxiv.org/abs/2409.13861
Autor:
Zhou, Yuxiao, Chai, Menglei, Wang, Daoye, Winberg, Sebastian, Wood, Erroll, Sarkar, Kripasindhu, Gross, Markus, Beeler, Thabo
Despite recent advances in multi-view hair reconstruction, achieving strand-level precision remains a significant challenge due to inherent limitations in existing capture pipelines. We introduce GroomCap, a novel multi-view hair capture method that
Externí odkaz:
http://arxiv.org/abs/2409.00831
We present personalized Gaussian Eigen Models (GEMs) for human heads, a novel method that compresses dynamic 3D Gaussians into low-dimensional linear spaces. Our approach is inspired by the seminal work of Blanz and Vetter, where a mesh-based 3D morp
Externí odkaz:
http://arxiv.org/abs/2407.04545
The continuing growth in cannabis legalization necessitates the development of rapid, objective methods for assessing impairment to ensure public and occupational safety. Traditional measurement techniques are subjective, time-consuming, and do not d
Externí odkaz:
http://arxiv.org/abs/2407.13701
Autor:
Su, Zihao, Cai, Kunlin, Beeler, Reuben, Dresel, Lukas, Garcia, Allan, Grishchenko, Ilya, Tian, Yuan, Kruegel, Christopher, Vigna, Giovanni
As Virtual Reality (VR) applications grow in popularity, they have bridged distances and brought users closer together. However, with this growth, there have been increasing concerns about security and privacy, especially related to the motion data u
Externí odkaz:
http://arxiv.org/abs/2405.14036