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Reconstructing 3D human heads in low-view settings presents technical challenges, mainly due to the pronounced risk of overfitting with limited views and high-frequency signals. To address this, we propose geometry decomposition and adopt a…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Baixin Xu , Jiarui Zhang , Kwan-Yee Lin , Chen Qian , Ying He

Sketches have been used to conceptualise and depict visual objects from pre-historic times. Sketch research has flourished in the past decade, particularly with the proliferation of touchscreen devices. Much of the utilisation of sketch has…

Computer Vision and Pattern Recognition · Computer Science 2022-10-28 Ayan Kumar Bhunia

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

Animation of 2D hand-drawn sketches provides an effective medium for visual communication. However, these sketches pose challenges, particularly in handling occlusions and accurately mapping motion. While 3D animation naturally addresses…

Computer Vision and Pattern Recognition · Computer Science 2026-05-28 Gaurav Rai , Ojaswa Sharma

Humans show high-level of abstraction capabilities in games that require quickly communicating object information. They decompose the message content into multiple parts and communicate them in an interpretable protocol. Toward equipping…

Computer Vision and Pattern Recognition · Computer Science 2022-07-28 Stephan Alaniz , Massimiliano Mancini , Anjan Dutta , Diego Marcos , Zeynep Akata

The recent success of implicit neural scene representations has presented a viable new method for how we capture and store 3D scenes. Unlike conventional 3D representations, such as point clouds, which explicitly store scene properties in…

Computer Vision and Pattern Recognition · Computer Science 2021-01-19 Amit Kohli , Vincent Sitzmann , Gordon Wetzstein

Learning 3D shape representation with dense correspondence for deformable objects is a fundamental problem in computer vision. Existing approaches often need additional annotations of specific semantic domain, e.g., skeleton poses for human…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 Baowen Zhang , Jiahe Li , Xiaoming Deng , Yinda Zhang , Cuixia Ma , Hongan Wang

In this paper, we tackle for the first time, the problem of self-supervised representation learning for free-hand sketches. This importantly addresses a common problem faced by the sketch community -- that annotated supervisory data are…

Computer Vision and Pattern Recognition · Computer Science 2020-02-04 Peng Xu , Zeyu Song , Qiyue Yin , Yi-Zhe Song , Liang Wang

Computer-aided design (CAD) is the most widely used modeling approach for technical design. The typical starting point in these designs is 2D sketches which can later be extruded and combined to obtain complex three-dimensional assemblies.…

Machine Learning · Computer Science 2021-06-08 Wamiq Reyaz Para , Shariq Farooq Bhat , Paul Guerrero , Tom Kelly , Niloy Mitra , Leonidas Guibas , Peter Wonka

Creative sketch is a universal way of visual expression, but translating images from an abstract sketch is very challenging. Traditionally, creating a deep learning model for sketch-to-image synthesis needs to overcome the distorted input…

Computer Vision and Pattern Recognition · Computer Science 2023-05-31 Qiang Wang , Di Kong , Fengyin Lin , Yonggang Qi

We propose GroundUp, the first sketch-based ideation tool for 3D city massing of urban areas. We focus on early-stage urban design, where sketching is a common tool and the design starts from balancing building volumes (masses) and open…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Gizem Esra Unlu , Mohamed Sayed , Yulia Gryaditskaya , Gabriel Brostow

Template 3D shapes are useful for many tasks in graphics and vision, including fitting observation data, analyzing shape collections, and transferring shape attributes. Because of the variety of geometry and topology of real-world shapes,…

Computer Vision and Pattern Recognition · Computer Science 2019-04-16 Kyle Genova , Forrester Cole , Daniel Vlasic , Aaron Sarna , William T. Freeman , Thomas Funkhouser

Implicit functions represented as deep learning approximations are powerful for reconstructing 3D surfaces. However, they can only produce static surfaces that are not controllable, which provides limited ability to modify the resulting…

Computer Vision and Pattern Recognition · Computer Science 2021-11-29 Bharat Lal Bhatnagar , Cristian Sminchisescu , Christian Theobalt , Gerard Pons-Moll

We present a novel freehand sketch beautification method, which takes as input a freely drawn sketch of a man-made object and automatically beautifies it both geometrically and structurally. Beautifying a sketch is challenging because of…

Computer Vision and Pattern Recognition · Computer Science 2023-12-25 Deng Yu , Manfred Lau , Lin Gao , Hongbo Fu

The ability to semantically interpret hand-drawn line sketches, although very challenging, can pave way for novel applications in multimedia. We propose SketchParse, the first deep-network architecture for fully automatic parsing of…

Computer Vision and Pattern Recognition · Computer Science 2017-09-06 Ravi Kiran Sarvadevabhatla , Isht Dwivedi , Abhijat Biswas , Sahil Manocha , R. Venkatesh Babu

Skeleton generation is essential for animating 3D assets, but current deep learning methods remain limited: they cannot handle the growing structural complexity of modern models and offer minimal controllability, creating a major bottleneck…

Accurately drawing 3D objects is difficult for untrained individuals, as it requires an understanding of perspective and its effects on geometry and proportions. Step-by-step tutorials break the complex task of sketching an entire object…

Graphics · Computer Science 2016-07-28 James W. Hennessey , Han Liu , Holger Winnemöller , Mira Dontcheva , Niloy J. Mitra

In the process of product design and digital fabrication, the structural analysis of a designed prototype is a fundamental and essential step. However, such a step is usually invisible or inaccessible to designers at the early sketching…

Computer Vision and Pattern Recognition · Computer Science 2023-12-12 Deng Yu , Chufeng Xiao , Manfred Lau , Hongbo Fu

Sketch design concepts are recurring patterns found in parametric CAD sketches. Though rarely explicitly formalized by the CAD designers, these concepts are implicitly used in design for modularity and regularity. In this paper, we propose…

Machine Learning · Computer Science 2022-10-27 Yuezhi Yang , Hao Pan

This paper unravels the potential of sketches for diffusion models, addressing the deceptive promise of direct sketch control in generative AI. We importantly democratise the process, enabling amateur sketches to generate precise images,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-22 Subhadeep Koley , Ayan Kumar Bhunia , Deeptanshu Sekhri , Aneeshan Sain , Pinaki Nath Chowdhury , Tao Xiang , Yi-Zhe Song
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