Zobrazeno 1 - 10
of 3 916
pro vyhledávání: '"Gadelha P"'
Autor:
Son, Sanghyun, Gadelha, Matheus, Zhou, Yang, Fisher, Matthew, Xu, Zexiang, Qiao, Yi-Ling, Lin, Ming C., Zhou, Yi
Recent probabilistic methods for 3D triangular meshes capture diverse shapes by differentiable mesh connectivity, but face high computational costs with increased shape details. We introduce a new differentiable mesh processing method in 2D and 3D th
Externí odkaz:
http://arxiv.org/abs/2412.16776
Autor:
Barda, Amir, Gadelha, Matheus, Kim, Vladimir G., Aigerman, Noam, Bermano, Amit H., Groueix, Thibault
We propose a generative technique to edit 3D shapes, represented as meshes, NeRFs, or Gaussian Splats, in approximately 3 seconds, without the need for running an SDS type of optimization. Our key insight is to cast 3D editing as a multiview image in
Externí odkaz:
http://arxiv.org/abs/2412.00518
Autor:
Pandey, Karran, Gadelha, Matheus, Hold-Geoffroy, Yannick, Singh, Karan, Mitra, Niloy J., Guerrero, Paul
Predicting diverse object motions from a single static image remains challenging, as current video generation models often entangle object movement with camera motion and other scene changes. While recent methods can predict specific motions from mot
Externí odkaz:
http://arxiv.org/abs/2412.00148
Autor:
da Silva, Rafael Ferreira, Bard, Deborah, Chard, Kyle, de Witt, Shaun, Foster, Ian T., Gibbs, Tom, Goble, Carole, Godoy, William, Gustafsson, Johan, Haus, Utz-Uwe, Hudson, Stephen, Jha, Shantenu, Los, Laila, Paine, Drew, Suter, Frédéric, Ward, Logan, Wilkinson, Sean, Amaris, Marcos, Babuji, Yadu, Bader, Jonathan, Balin, Riccardo, Balouek, Daniel, Beecroft, Sarah, Belhajjame, Khalid, Bhattarai, Rajat, Brewer, Wes, Brunk, Paul, Caino-Lores, Silvina, Casanova, Henri, Cassol, Daniela, Coleman, Jared, Coleman, Taina, Colonnelli, Iacopo, Da Silva, Anderson Andrei, de Oliveira, Daniel, Elahi, Pascal, Elfaramawy, Nour, Elwasif, Wael, Etz, Brian, Fahringer, Thomas, Ferreira, Wesley, Filgueira, Rosa, Tande, Jacob Fosso, Gadelha, Luiz, Gallo, Andy, Garijo, Daniel, Georgiou, Yiannis, Gritsch, Philipp, Grubel, Patricia, Gueroudji, Amal, Guilloteau, Quentin, Hamalainen, Carlo, Enriquez, Rolando Hong, Huet, Lauren, Kesling, Kevin Hunter, Iborra, Paula, Jahangiri, Shiva, Janssen, Jan, Jordan, Joe, Kanwal, Sehrish, Kunstmann, Liliane, Lehmann, Fabian, Leser, Ulf, Li, Chen, Liu, Peini, Luettgau, Jakob, Lupat, Richard, Fernandez, Jose M., Maheshwari, Ketan, Malik, Tanu, Marquez, Jack, Matsuda, Motohiko, Medic, Doriana, Mohammadi, Somayeh, Mulone, Alberto, Navarro, John-Luke, Ng, Kin Wai, Noelp, Klaus, Kinoshita, Bruno P., Prout, Ryan, Crusoe, Michael R., Ristov, Sashko, Robila, Stefan, Rosendo, Daniel, Rowell, Billy, Rybicki, Jedrzej, Sanchez, Hector, Saurabh, Nishant, Saurav, Sumit Kumar, Scogland, Tom, Senanayake, Dinindu, Shin, Woong, Sirvent, Raul, Skluzacek, Tyler, Sly-Delgado, Barry, Soiland-Reyes, Stian, Souza, Abel, Souza, Renan, Talia, Domenico, Tallent, Nathan, Thamsen, Lauritz, Titov, Mikhail, Tovar, Benjamin, Vahi, Karan, Vardar-Irrgang, Eric, Vartina, Edite, Wang, Yuandou, Wouters, Merridee, Yu, Qi, Bkhetan, Ziad Al, Zulfiqar, Mahnoor
The Workflows Community Summit gathered 111 participants from 18 countries to discuss emerging trends and challenges in scientific workflows, focusing on six key areas: time-sensitive workflows, AI-HPC convergence, multi-facility workflows, heterogen
Externí odkaz:
http://arxiv.org/abs/2410.14943
Autor:
Wilkinson, Sean R., Aloqalaa, Meznah, Belhajjame, Khalid, Crusoe, Michael R., Kinoshita, Bruno de Paula, Gadelha, Luiz, Garijo, Daniel, Gustafsson, Ove Johan Ragnar, Juty, Nick, Kanwal, Sehrish, Khan, Farah Zaib, Köster, Johannes, Gehlen, Karsten Peters-von, Pouchard, Line, Rannow, Randy K., Soiland-Reyes, Stian, Soranzo, Nicola, Sufi, Shoaib, Sun, Ziheng, Vilne, Baiba, Wouters, Merridee A., Yuen, Denis, Goble, Carole
Recent trends within computational and data sciences show an increasing recognition and adoption of computational workflows as tools for productivity, reproducibility, and democratized access to platforms and processing know-how. As digital objects t
Externí odkaz:
http://arxiv.org/abs/2410.03490
Autor:
Ahmed, Waqas, Kommineni, Vamsi Krishna, König-Ries, Birgitta, Gaikwad, Jitendra, Gadelha, Luiz, Samuel, Sheeba
Artificial Intelligence (AI) is revolutionizing biodiversity research by enabling advanced data analysis, species identification, and habitats monitoring, thereby enhancing conservation efforts. Ensuring reproducibility in AI-driven biodiversity rese
Externí odkaz:
http://arxiv.org/abs/2407.07550
Autor:
Li, Xianzhiyu, Song, Kunjian, Gadelha, Mikhail R., Brauße, Franz, Menezes, Rafael S., Korovin, Konstantin, Cordeiro, Lucas C.
This paper presents Efficient SMT-Based Context-Bounded Model Checker (ESBMC) v7.6, an extended version based on previous work on ESBMC v7.3 by K. Song et al. The v7.3 introduced a new Clang-based C++ front-end to address the challenges posed by mode
Externí odkaz:
http://arxiv.org/abs/2406.17862
Autor:
Chen, Yun-Chun, Ling, Selena, Chen, Zhiqin, Kim, Vladimir G., Gadelha, Matheus, Jacobson, Alec
We propose a novel technique for adding geometric details to an input coarse 3D mesh guided by a text prompt. Our method is composed of three stages. First, we generate a single-view RGB image conditioned on the input coarse geometry and the input te
Externí odkaz:
http://arxiv.org/abs/2406.01592
We present a differentiable representation, DMesh, for general 3D triangular meshes. DMesh considers both the geometry and connectivity information of a mesh. In our design, we first get a set of convex tetrahedra that compactly tessellates the domai
Externí odkaz:
http://arxiv.org/abs/2404.13445
Autor:
Petrov, Dmitry, Goyal, Pradyumn, Thamizharasan, Vikas, Kim, Vladimir G., Gadelha, Matheus, Averkiou, Melinos, Chaudhuri, Siddhartha, Kalogerakis, Evangelos
We introduce GEM3D -- a new deep, topology-aware generative model of 3D shapes. The key ingredient of our method is a neural skeleton-based representation encoding information on both shape topology and geometry. Through a denoising diffusion probabi
Externí odkaz:
http://arxiv.org/abs/2402.16994