Zobrazeno 1 - 10
of 2 633
pro vyhledávání: '"Savva, P"'
Despite advances in text-to-3D generation methods, generation of multi-object arrangements remains challenging. Current methods exhibit failures in generating physically plausible arrangements that respect the provided text description. We present Sc
Externí odkaz:
http://arxiv.org/abs/2408.02211
Single minibeams of protons, $^{4}$He, $^{12}$C and $^{16}$O in water were modeled with Geant4, and their dose distributions were parameterized with double-Gauss-Rutherford (DGR) functions. Dose distributions from arrays of 16 parallel minibeams cent
Externí odkaz:
http://arxiv.org/abs/2407.09851
Autor:
Ignatyev, Savva, Konovalova, Nina, Selikhanovych, Daniil, Patakin, Nikolay, Voynov, Oleg, Senushkin, Dmitry, Filippov, Alexander, Konushin, Anton, Wonka, Peter, Burnaev, Evgeny
We tackle the problem of text-driven 3D generation from a geometry alignment perspective. We aim at the generation of multiple objects which are consistent in terms of semantics and geometry. Recent methods based on Score Distillation have succeeded
Externí odkaz:
http://arxiv.org/abs/2406.15020
Personalised discount codes provide a powerful mechanism for managing customer relationships and operational spend in e-commerce. Bandits are well suited for this product area, given the partial information nature of the problem, as well as the need
Externí odkaz:
http://arxiv.org/abs/2406.06433
3D modeling of articulated objects is a research problem within computer vision, graphics, and robotics. Its objective is to understand the shape and motion of the articulated components, represent the geometry and mobility of object parts, and creat
Externí odkaz:
http://arxiv.org/abs/2403.14937
Recent years have seen an explosion of work and interest in text-to-3D shape generation. Much of the progress is driven by advances in 3D representations, large-scale pretraining and representation learning for text and image data enabling generative
Externí odkaz:
http://arxiv.org/abs/2403.13289
We introduce the Reality-linked 3D Scenes (R3DS) dataset of synthetic 3D scenes mirroring the real-world scene arrangements from Matterport3D panoramas. Compared to prior work, R3DS has more complete and densely populated scenes with objects linked t
Externí odkaz:
http://arxiv.org/abs/2403.12301
Autor:
Graesdal, Bernhard Paus, Chia, Shao Yuan Chew, Marcucci, Tobia, Morozov, Savva, Amice, Alexandre, Parrilo, Pablo A., Tedrake, Russ
We present a novel method for global motion planning of robotic systems that interact with the environment through contacts. Our method directly handles the hybrid nature of such tasks using tools from convex optimization. We formulate the motion-pla
Externí odkaz:
http://arxiv.org/abs/2402.10312
Single-view 3D shape retrieval is a challenging task that is increasingly important with the growth of available 3D data. Prior work that has studied this task has not focused on evaluating how realistic occlusions impact performance, and how shape r
Externí odkaz:
http://arxiv.org/abs/2401.00405
We address the challenge of generating 3D articulated objects in a controllable fashion. Currently, modeling articulated 3D objects is either achieved through laborious manual authoring, or using methods from prior work that are hard to scale and con
Externí odkaz:
http://arxiv.org/abs/2312.09570