Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Camps, Octavia"'
Autor:
Jung, Yoon Gyo, Park, Jaewoo, Dong, Xingbo, Park, Hojin, Teoh, Andrew Beng Jin, Camps, Octavia
Understanding the vulnerability of face recognition systems to malicious attacks is of critical importance. Previous works have focused on reconstructing face images that can penetrate a targeted verification system. Even in the white-box scenario, h
Externí odkaz:
http://arxiv.org/abs/2407.02403
Photo-realistic 3D Reconstruction is a fundamental problem in 3D computer vision. This domain has seen considerable advancements owing to the advent of recent neural rendering techniques. These techniques predominantly aim to focus on learning volume
Externí odkaz:
http://arxiv.org/abs/2406.02720
Solving image and video jigsaw puzzles poses the challenging task of rearranging image fragments or video frames from unordered sequences to restore meaningful images and video sequences. Existing approaches often hinge on discriminative models taske
Externí odkaz:
http://arxiv.org/abs/2404.07292
Autor:
Comas-Massagué, Armand, Qiu, Di, Chai, Menglei, Bühler, Marcel, Raj, Amit, Gao, Ruiqi, Xu, Qiangeng, Matthews, Mark, Gotardo, Paulo, Camps, Octavia, Orts-Escolano, Sergio, Beeler, Thabo
We introduce a novel framework for 3D human avatar generation and personalization, leveraging text prompts to enhance user engagement and customization. Central to our approach are key innovations aimed at overcoming the challenges in photo-realistic
Externí odkaz:
http://arxiv.org/abs/2404.01296
Autor:
Comas-Massagué, Armand, Du, Yilun, Fernandez, Christian, Ghimire, Sandesh, Sznaier, Mario, Tenenbaum, Joshua B., Camps, Octavia
Systems consisting of interacting agents are prevalent in the world, ranging from dynamical systems in physics to complex biological networks. To build systems which can interact robustly in the real world, it is thus important to be able to infer th
Externí odkaz:
http://arxiv.org/abs/2310.14466
Egocentric temporal action segmentation in videos is a crucial task in computer vision with applications in various fields such as mixed reality, human behavior analysis, and robotics. Although recent research has utilized advanced visual-language fr
Externí odkaz:
http://arxiv.org/abs/2305.11365
Cross view action recognition (CVAR) seeks to recognize a human action when observed from a previously unseen viewpoint. This is a challenging problem since the appearance of an action changes significantly with the viewpoint. Applications of CVAR in
Externí odkaz:
http://arxiv.org/abs/2305.01733
Anomaly detection and localization of visual data, including images and videos, are of great significance in both machine learning academia and applied real-world scenarios. Despite the rapid development of visual anomaly detection techniques in rece
Externí odkaz:
http://arxiv.org/abs/2302.06670
Autor:
Ghimire, Sandesh, Liu, Jinyang, Comas, Armand, Hill, Davin, Masoomi, Aria, Camps, Octavia, Dy, Jennifer
In this work, we look at Score-based generative models (also called diffusion generative models) from a geometric perspective. From a new view point, we prove that both the forward and backward process of adding noise and generating from noise are Wa
Externí odkaz:
http://arxiv.org/abs/2302.04411
While score based generative models, or diffusion models, have found success in image synthesis, they are often coupled with text data or image label to be able to manipulate and conditionally generate images. Even though manipulation of images by ch
Externí odkaz:
http://arxiv.org/abs/2302.02272