Zobrazeno 1 - 10
of 2 118
pro vyhledávání: '"Kokkinos, P"'
Generating high-quality 3D content from text, single images, or sparse view images remains a challenging task with broad applications. Existing methods typically employ multi-view diffusion models to synthesize multi-view images, followed by a feed-f
Externí odkaz:
http://arxiv.org/abs/2410.00890
Autor:
Bensadoun, Raphael, Monnier, Tom, Kleiman, Yanir, Kokkinos, Filippos, Siddiqui, Yawar, Kariya, Mahendra, Harosh, Omri, Shapovalov, Roman, Graham, Benjamin, Garreau, Emilien, Karnewar, Animesh, Cao, Ang, Azuri, Idan, Makarov, Iurii, Le, Eric-Tuan, Toisoul, Antoine, Novotny, David, Gafni, Oran, Neverova, Natalia, Vedaldi, Andrea
We introduce Meta 3D Gen (3DGen), a new state-of-the-art, fast pipeline for text-to-3D asset generation. 3DGen offers 3D asset creation with high prompt fidelity and high-quality 3D shapes and textures in under a minute. It supports physically-based
Externí odkaz:
http://arxiv.org/abs/2407.02599
Autor:
Siddiqui, Yawar, Monnier, Tom, Kokkinos, Filippos, Kariya, Mahendra, Kleiman, Yanir, Garreau, Emilien, Gafni, Oran, Neverova, Natalia, Vedaldi, Andrea, Shapovalov, Roman, Novotny, David
We present Meta 3D AssetGen (AssetGen), a significant advancement in text-to-3D generation which produces faithful, high-quality meshes with texture and material control. Compared to works that bake shading in the 3D object's appearance, AssetGen out
Externí odkaz:
http://arxiv.org/abs/2407.02445
Autor:
Kokkinos, Kyriazis, Polymenidis, Ioannis, Siniosoglou, Ilias, Liatifis, Athanasios, Sarigiannidis, Panagiotis
Data exchange through mobile devices is rapidly increasing due to the high information demands of today's applications. The need for monitoring the exchanged traffic becomes important in order to control and optimize the device and network performanc
Externí odkaz:
http://arxiv.org/abs/2406.18251
Autor:
Lê, Eric-Tuan, Kakolyris, Antonis, Koutras, Petros, Tam, Himmy, Skordos, Efstratios, Papandreou, George, Güler, Rıza Alp, Kokkinos, Iasonas
Publikováno v:
CVPR 2024
DensePose provides a pixel-accurate association of images with 3D mesh coordinates, but does not provide a 3D mesh, while Human Mesh Reconstruction (HMR) systems have high 2D reprojection error, as measured by DensePose localization metrics. In this
Externí odkaz:
http://arxiv.org/abs/2406.10180
This paper is the initial part of a comprehensive study of spacetimes that admit the canonical forms of Killing tensor in General Relativity. Our scope is to derive either new exact solutions of Einstein's equations or to determine the hidden symmetr
Externí odkaz:
http://arxiv.org/abs/2406.07105
Procedural Content Generation (PCG) algorithms enable the automatic generation of complex and diverse artifacts. However, they don't provide high-level control over the generated content and typically require domain expertise. In contrast, text-to-3D
Externí odkaz:
http://arxiv.org/abs/2404.15538
This paper presents a novel method for building scalable 3D generative models utilizing pre-trained video diffusion models. The primary obstacle in developing foundation 3D generative models is the limited availability of 3D data. Unlike images, text
Externí odkaz:
http://arxiv.org/abs/2403.12034
Autor:
Melas-Kyriazi, Luke, Laina, Iro, Rupprecht, Christian, Neverova, Natalia, Vedaldi, Andrea, Gafni, Oran, Kokkinos, Filippos
Most text-to-3D generators build upon off-the-shelf text-to-image models trained on billions of images. They use variants of Score Distillation Sampling (SDS), which is slow, somewhat unstable, and prone to artifacts. A mitigation is to fine-tune the
Externí odkaz:
http://arxiv.org/abs/2402.08682
Autor:
Kokkinos, D., Papakostas, T.
The study of the Canonical Forms of the Killing Tensor concerns the simultaneous resolving of the Integrability Conditions of the Killing Tensor along with the Einstein's Field Equations employing the framework of Newman-Penrose Formalism. We present
Externí odkaz:
http://arxiv.org/abs/2309.04203