no code implementations • 27 Mar 2024 • Nikolaos Sarafianos, Tuur Stuyck, Xiaoyu Xiang, Yilei Li, Jovan Popovic, Rakesh Ranjan
We present a plethora of quantitative and qualitative comparisons on various assets both real and generated and provide use-cases of how one can generate simulation-ready 3D garments.
no code implementations • 15 Mar 2024 • Marco Pesavento, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Ziyan Wang, Chun-Han Yao, Marco Volino, Edmond Boyer, Adrian Hilton, Tony Tung
In this paper, we explore the benefits of incorporating depth observations in the reconstruction process by introducing ANIM, a novel method that reconstructs arbitrary 3D human shapes from single-view RGB-D images with an unprecedented level of accuracy.
no code implementations • 1 Feb 2024 • Hyunyoung Jung, Seonghyeon Nam, Nikolaos Sarafianos, Sungjoo Yoo, Alexander Sorkine-Hornung, Rakesh Ranjan
Shape and geometric patterns are essential in defining stylistic identity.
no code implementations • 28 Dec 2023 • Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Edmond Boyer, Alan Yuille, Tony Tung
This representation is composed of two surface layers that represent opaque and translucent regions on the clothed human body.
no code implementations • 20 Nov 2023 • Yifei Li, Hsiao-yu Chen, Egor Larionov, Nikolaos Sarafianos, Wojciech Matusik, Tuur Stuyck
By integrating physical simulation into the optimization loop and accounting for the complex nonlinear behavior of cloth and its intricate interaction with the body, our framework recovers body and garment geometry and extracts important material parameters in a physically plausible way.
no code implementations • ICCV 2023 • Yuxuan Xue, Bharat Lal Bhatnagar, Riccardo Marin, Nikolaos Sarafianos, Yuanlu Xu, Gerard Pons-Moll, Tony Tung
Compared to existing approaches, our method eliminates the expensive per-frame surface extraction while maintaining mesh coherency, and is capable of reconstructing meshes with arbitrary resolution without retraining.
1 code implementation • CVPR 2023 • Anna Frühstück, Nikolaos Sarafianos, Yuanlu Xu, Peter Wonka, Tony Tung
Our experiments demonstrate that VIVE3D generates high-fidelity face edits at consistent quality from a range of camera viewpoints which are composited with the original video in a temporally and spatially consistent manner.
1 code implementation • 27 Jul 2022 • Garvita Tiwari, Dimitrije Antic, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll
The resulting high-dimensional implicit function can be differentiated with respect to the input poses and thus can be used to project arbitrary poses onto the manifold by using gradient descent on the set of 3-dimensional hyperspheres.
no code implementations • CVPR 2022 • Anastasia Ianina, Nikolaos Sarafianos, Yuanlu Xu, Ignacio Rocco, Tony Tung
Dense correspondence between humans carries powerful semantic information that can be utilized to solve fundamental problems for full-body understanding such as in-the-wild surface matching, tracking and reconstruction.
no code implementations • 4 Apr 2022 • Tiantian Wang, Nikolaos Sarafianos, Ming-Hsuan Yang, Tony Tung
We accomplish this by utilizing both the human pose that models the body shape as well as point clouds that partially cover the human as input.
no code implementations • CVPR 2022 • Pablo Palafox, Nikolaos Sarafianos, Tony Tung, Angela Dai
We observe that deformable object motion is often semantically structured, and thus propose to learn Structured-implicit PArametric Models (SPAMs) as a deformable object representation that structurally decomposes non-rigid object motion into part-based disentangled representations of shape and pose, with each being represented by deep implicit functions.
no code implementations • 27 Dec 2021 • Phong Nguyen-Ha, Nikolaos Sarafianos, Christoph Lassner, Janne Heikkila, Tony Tung
While prior work has shown impressive performance capture results in laboratory settings, it is non-trivial to achieve casual free-viewpoint human capture and rendering for unseen identities with high fidelity, especially for facial expressions, hands, and clothes.
1 code implementation • ICCV 2021 • Garvita Tiwari, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll
Neural-GIF can be trained on raw 3D scans and reconstructs detailed complex surface geometry and deformations.
no code implementations • CVPR 2021 • Bindita Chaudhuri, Nikolaos Sarafianos, Linda Shapiro, Tony Tung
Given a segmentation mask defining the layout of the semantic regions in the texture map, our network generates high-resolution textures with a variety of styles, that are then used for rendering purposes.
no code implementations • 11 Jun 2020 • Xiang Xu, Nikolaos Sarafianos, Ioannis A. Kakadiaris
In this paper, we address a key limitation of existing 2D face recognition methods: robustness to occlusions.
no code implementations • ICCV 2019 • Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris
For many computer vision applications such as image captioning, visual question answering, and person search, learning discriminative feature representations at both image and text level is an essential yet challenging problem.
2 code implementations • ECCV 2018 • Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris
For many computer vision applications, such as image description and human identification, recognizing the visual attributes of humans is an essential yet challenging problem.
no code implementations • 19 Sep 2017 • Nikolaos Sarafianos, Theodore Giannakopoulos, Christophoros Nikou, Ioannis A. Kakadiaris
In this paper, we introduce a novel method to combine the advantages of both multi-task and curriculum learning in a visual attribute classification framework.
no code implementations • 30 Aug 2017 • Nikolaos Sarafianos, Michalis Vrigkas, Ioannis A. Kakadiaris
Incorporating additional knowledge in the learning process can be beneficial for several computer vision and machine learning tasks.
no code implementations • 29 Aug 2017 • Nikolaos Sarafianos, Theodore Giannakopoulos, Christophoros Nikou, Ioannis A. Kakadiaris
Visual attributes, from simple objects (e. g., backpacks, hats) to soft-biometrics (e. g., gender, height, clothing) have proven to be a powerful representational approach for many applications such as image description and human identification.
no code implementations • 9 Feb 2017 • Nikolaos Sarafianos, Christophoros Nikou, Ioannis A. Kakadiaris
In this paper, we propose a novel regression-based method for employing privileged information to estimate the height using human metrology.