Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dupont, Elona"'
Autor:
Dupont, Elona, Cherenkova, Kseniya, Mallis, Dimitrios, Gusev, Gleb, Kacem, Anis, Aouada, Djamila
3D reverse engineering, in which a CAD model is inferred given a 3D scan of a physical object, is a research direction that offers many promising practical applications. This paper proposes TransCAD, an end-to-end transformer-based architecture that
Externí odkaz:
http://arxiv.org/abs/2407.12702
Autor:
Khan, Mohammad Sadil, Dupont, Elona, Ali, Sk Aziz, Cherenkova, Kseniya, Kacem, Anis, Aouada, Djamila
Reverse engineering in the realm of Computer-Aided Design (CAD) has been a longstanding aspiration, though not yet entirely realized. Its primary aim is to uncover the CAD process behind a physical object given its 3D scan. We propose CAD-SIGNet, an
Externí odkaz:
http://arxiv.org/abs/2402.17678
Autor:
Mallis, Dimitrios, Ali, Sk Aziz, Dupont, Elona, Cherenkova, Kseniya, Karadeniz, Ahmet Serdar, Khan, Mohammad Sadil, Kacem, Anis, Gusev, Gleb, Aouada, Djamila
Recent breakthroughs in geometric Deep Learning (DL) and the availability of large Computer-Aided Design (CAD) datasets have advanced the research on learning CAD modeling processes and relating them to real objects. In this context, 3D reverse engin
Externí odkaz:
http://arxiv.org/abs/2308.15966
Autor:
Cherenkova, Kseniya, Dupont, Elona, Kacem, Anis, Arzhannikov, Ilya, Gusev, Gleb, Aouada, Djamila
3D scanning as a technique to digitize objects in reality and create their 3D models, is used in many fields and areas. Though the quality of 3D scans depends on the technical characteristics of the 3D scanner, the common drawback is the smoothing of
Externí odkaz:
http://arxiv.org/abs/2304.06531
Autor:
Dupont, Elona, Cherenkova, Kseniya, Kacem, Anis, Ali, Sk Aziz, Arzhannikov, Ilya, Gusev, Gleb, Aouada, Djamila
3D reverse engineering is a long sought-after, yet not completely achieved goal in the Computer-Aided Design (CAD) industry. The objective is to recover the construction history of a CAD model. Starting from a Boundary Representation (B-Rep) of a CAD
Externí odkaz:
http://arxiv.org/abs/2208.10555
Reconstructing 3D human body shapes from 3D partial textured scans remains a fundamental task for many computer vision and graphics applications -- e.g., body animation, and virtual dressing. We propose a new neural network architecture for 3D body s
Externí odkaz:
http://arxiv.org/abs/2208.08768
Autor:
Dupont, Elona
This thesis focuses on the generation of original and unique 3D dances given a music using deep neural networks. A state of the art model (Dance Revolution) was adapted to take as input 3D data. Then it was trained using the recently published AIST++
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2658::9de7fbdfbf0949c0f191d6ce62558b84
http://orbilu.uni.lu/handle/10993/50481
http://orbilu.uni.lu/handle/10993/50481