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Visual design is critical to product success, and the subject of intensive marketing research effort. Yet visual elements, due to their holistic and interactive nature, do not lend themselves well to optimization using extant…

Human-Computer Interaction · Computer Science 2019-12-12 Namwoo Kang , Yi Ren , Fred Feinberg , Panos Papalambros

Efficient representation of articulated objects such as human bodies is an important problem in computer vision and graphics. To efficiently simulate deformation, existing approaches represent 3D objects using polygonal meshes and deform…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Boyang Deng , JP Lewis , Timothy Jeruzalski , Gerard Pons-Moll , Geoffrey Hinton , Mohammad Norouzi , Andrea Tagliasacchi

Conceptual design relies on extensive manipulation of morphological properties of real or virtual objects.This study investigates the nature of the perceptual information that could be retrieved from different representation modalities to…

Human-Computer Interaction · Computer Science 2018-05-22 Chiara Silvestri , Rene Motro , Bernard Maurin , Birgitta Dresp-Langley

3D Morphable Model (3DMM) fitting has widely benefited face analysis due to its strong 3D priori. However, previous reconstructed 3D faces suffer from degraded visual verisimilitude due to the loss of fine-grained geometry, which is…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Xiangyu Zhu , Chang Yu , Di Huang , Zhen Lei , Hao Wang , Stan Z. Li

Abstract visual reasoning is a characteristically human ability, allowing the identification of relational patterns that are abstracted away from object features, and the systematic generalization of those patterns to unseen problems.…

Computer Vision and Pattern Recognition · Computer Science 2024-06-04 Shanka Subhra Mondal , Jonathan D. Cohen , Taylor W. Webb

We present En3D, an enhanced generative scheme for sculpting high-quality 3D human avatars. Unlike previous works that rely on scarce 3D datasets or limited 2D collections with imbalanced viewing angles and imprecise pose priors, our…

Computer Vision and Pattern Recognition · Computer Science 2024-01-03 Yifang Men , Biwen Lei , Yuan Yao , Miaomiao Cui , Zhouhui Lian , Xuansong Xie

3D modeling based on point clouds is an efficient way to reconstruct and create detailed 3D content. However, the geometric procedure may lose accuracy due to high redundancy and the absence of an explicit structure. In this work, we…

Graphics · Computer Science 2022-01-28 Xusheng Du , Yi He , Xi Yang , Chia-Ming Chang , Haoran Xie

Clay sculpting is a nuanced, artistic task involving dexterous manipulation with long-horizon planning to achieve high-level goals. As a robotics problem, we formulate clay sculpting as a shape-to-shape matching challenge. Prior deformable…

Robotics · Computer Science 2026-05-19 Peter Schaldenbrand , Jean Oh

In this paper, we democratise 3D content creation, enabling precise generation of 3D shapes from abstract sketches while overcoming limitations tied to drawing skills. We introduce a novel part-level modelling and alignment framework that…

Computer Vision and Pattern Recognition · Computer Science 2024-06-10 Hmrishav Bandyopadhyay , Subhadeep Koley , Ayan Das , Ayan Kumar Bhunia , Aneeshan Sain , Pinaki Nath Chowdhury , Tao Xiang , Yi-Zhe Song

We propose a method to create plausible geometric and texture style variations of 3D objects in the quest to democratize 3D content creation. Given a pair of textured source and target objects, our method predicts a part-aware affine…

Computer Vision and Pattern Recognition · Computer Science 2021-08-31 Kangxue Yin , Jun Gao , Maria Shugrina , Sameh Khamis , Sanja Fidler

We propose a new approach for editing face images, which enables numerous exciting applications including face relighting, makeup transfer and face detail editing. Our face edits are based on a visual representation, which includes…

Computer Vision and Pattern Recognition · Computer Science 2016-12-05 Jiajun Lu , Kalyan Sunkavalli , Nathan Carr , Sunil Hadap , David Forsyth

We investigate the problem of estimating the 3D shape of an object, given a set of 2D landmarks in a single image. To alleviate the reconstruction ambiguity, a widely-used approach is to confine the unknown 3D shape within a shape space…

Computer Vision and Pattern Recognition · Computer Science 2015-06-03 Xiaowei Zhou , Spyridon Leonardos , Xiaoyan Hu , Kostas Daniilidis

In the realm of 3D computer vision, parametric models have emerged as a ground-breaking methodology for the creation of realistic and expressive 3D avatars. Traditionally, they rely on Principal Component Analysis (PCA), given its ability…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Rolandos Alexandros Potamias , Michail Tarasiou , Stylianos Ploumpis , Stefanos Zafeiriou

Shape priors learned from data are commonly used to reconstruct 3D objects from partial or noisy data. Yet no such shape priors are available for indoor scenes, since typical 3D autoencoders cannot handle their scale, complexity, or…

Computer Vision and Pattern Recognition · Computer Science 2020-03-23 Chiyu Max Jiang , Avneesh Sud , Ameesh Makadia , Jingwei Huang , Matthias Nießner , Thomas Funkhouser

While progress in 2D generative models of human appearance has been rapid, many applications require 3D avatars that can be animated and rendered. Unfortunately, most existing methods for learning generative models of 3D humans with diverse…

Computer Vision and Pattern Recognition · Computer Science 2023-05-04 Zijian Dong , Xu Chen , Jinlong Yang , Michael J. Black , Otmar Hilliges , Andreas Geiger

Texture cues on 3D objects are key to compelling visual representations, with the possibility to create high visual fidelity with inherent spatial consistency across different views. Since the availability of textured 3D shapes remains very…

Computer Vision and Pattern Recognition · Computer Science 2022-04-07 Yawar Siddiqui , Justus Thies , Fangchang Ma , Qi Shan , Matthias Nießner , Angela Dai

We propose 3DBooSTeR, a novel method to recover a textured 3D body mesh from a textured partial 3D scan. With the advent of virtual and augmented reality, there is a demand for creating realistic and high-fidelity digital 3D human…

Computer Vision and Pattern Recognition · Computer Science 2020-10-27 Alexandre Saint , Anis Kacem , Kseniya Cherenkova , Djamila Aouada

Deducing the 3D face from a skull is a challenging task in forensic science and archaeology. This paper proposes an end-to-end 3D face reconstruction pipeline and an exploration method that can conveniently create textured, realistic faces…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Yongqing Liang , Congyi Zhang , Junli Zhao , Wenping Wang , Xin Li

We leverage increasingly popular three-dimensional neural representations in order to construct a unified and consistent explanation of a collection of uncalibrated images of the human face. Our approach utilizes Gaussian Splatting, since…

Computer Vision and Pattern Recognition · Computer Science 2025-12-19 Haodi He , Jihun Yu , Ronald Fedkiw

With systems for acquiring 3D surface data being evermore commonplace, it has become important to reliably extract specific shapes from the acquired data. In the presence of noise and occlusions, this can be done through the use of…

Computer Vision and Pattern Recognition · Computer Science 2015-03-30 Alan Brunton , Augusto Salazar , Timo Bolkart , Stefanie Wuhrer