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We aim to obtain an interpretable, expressive, and disentangled scene representation that contains comprehensive structural and textural information for each object. Previous scene representations learned by neural networks are often…

Computer Vision and Pattern Recognition · Computer Science 2018-12-19 Shunyu Yao , Tzu Ming Harry Hsu , Jun-Yan Zhu , Jiajun Wu , Antonio Torralba , William T. Freeman , Joshua B. Tenenbaum

Text-to-motion generation, which translates textual descriptions into human motions, faces the challenge that users often struggle to precisely convey their intended motions through text alone. To address this issue, this paper introduces…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Tao Wang , Lei Jin , Zhihua Wu , Qiaozhi He , Jiaming Chu , Yu Cheng , Junliang Xing , Jian Zhao , Shuicheng Yan , Li Wang

We introduce the first method for automatic image generation from scene-level freehand sketches. Our model allows for controllable image generation by specifying the synthesis goal via freehand sketches. The key contribution is an attribute…

Computer Vision and Pattern Recognition · Computer Science 2020-04-08 Chengying Gao , Qi Liu , Qi Xu , Limin Wang , Jianzhuang Liu , Changqing Zou

Sketch2Prototype is an AI-based framework that transforms a hand-drawn sketch into a diverse set of 2D images and 3D prototypes through sketch-to-text, text-to-image, and image-to-3D stages. This framework, shown across various sketches,…

Human-Computer Interaction · Computer Science 2024-05-24 Kristen M. Edwards , Brandon Man , Faez Ahmed

We introduce GaussianCut, a new method for interactive multiview segmentation of scenes represented as 3D Gaussians. Our approach allows for selecting the objects to be segmented by interacting with a single view. It accepts intuitive user…

Computer Vision and Pattern Recognition · Computer Science 2024-11-13 Umangi Jain , Ashkan Mirzaei , Igor Gilitschenski

Background: Because of the difficulties involved in learning and using 3D modeling and rendering software, many scientists hire programmers or animators to create models and animations. This both slows the discovery process and provides…

Graphics · Computer Science 2014-07-14 Shawn M. Waldon , Peter M. Thompson , Patrick J. Hahn , Russell M. Taylor

Human motion is inherently diverse and semantically rich, while also shaped by the surrounding scene. However, existing motion generation approaches fail to generate semantically diverse motion while simultaneously respecting geometric…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Jungbin Cho , Minsu Kim , Jisoo Kim , Ce Zheng , Laszlo A. Jeni , Ming-Hsuan Yang , Youngjae Yu , Seonjoo Kim

Recently, sketches have been introduced as a general language for representing the subgoal structure of instances drawn from the same domain. Sketches are collections of rules of the form C -> E over a given set of features where C…

Artificial Intelligence · Computer Science 2022-03-29 Dominik Drexler , Jendrik Seipp , Hector Geffner

The modeling and manipulation of 3D scenes captured from the real world are pivotal in various applications, attracting growing research interest. While previous works on editing have achieved interesting results through manipulating 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-08-15 Guan Luo , Tian-Xing Xu , Ying-Tian Liu , Xiao-Xiong Fan , Fang-Lue Zhang , Song-Hai Zhang

Text-to-image diffusion models are gradually introduced into computer graphics, recently enabling the development of Text-to-3D pipelines in an open domain. However, for interactive editing purposes, local manipulations of content through a…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Aryan Mikaeili , Or Perel , Mehdi Safaee , Daniel Cohen-Or , Ali Mahdavi-Amiri

We introduce the Scene Language, a visual scene representation that concisely and precisely describes the structure, semantics, and identity of visual scenes. It represents a scene with three key components: a program that specifies the…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Yunzhi Zhang , Zizhang Li , Matt Zhou , Shangzhe Wu , Jiajun Wu

Scene graph generation aims to construct a semantic graph structure from an image such that its nodes and edges respectively represent objects and their relationships. One of the major challenges for the task lies in the presence of…

Computer Vision and Pattern Recognition · Computer Science 2023-04-10 Deunsol Jung , Sanghyun Kim , Won Hwa Kim , Minsu Cho

We present SceneSuggest: an interactive 3D scene design system providing context-driven suggestions for 3D model retrieval and placement. Using a point-and-click metaphor we specify regions in a scene in which to automatically place and…

Graphics · Computer Science 2017-03-02 Manolis Savva , Angel X. Chang , Maneesh Agrawala

Generating high-quality 3D models from 2D sketches is a challenging task due to the inherent ambiguity and sparsity of sketch data. In this paper, we present S3D, a novel framework that converts simple hand-drawn sketches into detailed 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-06-04 Hail Song , Wonsik Shin , Naeun Lee , Soomin Chung , Nojun Kwak , Woontack Woo

Graphic layout generation is a growing research area focusing on generating aesthetically pleasing layouts ranging from poster designs to documents. While recent research has explored ways to incorporate user constraints to guide the layout…

This paper presents a novel free-hand sketch synthesis approach addressing explicit abstraction control in class-conditional and photo-to-sketch synthesis. Abstraction is a vital aspect of sketches, as it defines the fundamental distinction…

Computer Vision and Pattern Recognition · Computer Science 2023-06-16 Dar-Yen Chen

In this paper, we present an easy to use sketch-based interface to extract geometries and generate affordance files from 3D point clouds for robot-object interaction tasks. Using our system, even novice users can perform robot task planning…

Human-Computer Interaction · Computer Science 2020-03-24 Sina Masnadi , Joseph J. LaViola , Xiaofan Zhu , Karthik Desingh , Odest Chadwicke Jenkins

Designing 3D objects from scratch is difficult, especially when the user intent is fuzzy without a clear target form. In the spirit of modeling-by-example, we facilitate design by providing reference and inspiration from existing model…

Graphics · Computer Science 2019-04-17 Xiaohua Xie , Kai Xu , Niloy J. Mitra , Daniel Cohen-Or , Baoquan Chen

We propose Text2Scene, a method to automatically create realistic textures for virtual scenes composed of multiple objects. Guided by a reference image and text descriptions, our pipeline adds detailed texture on labeled 3D geometries in…

Computer Vision and Pattern Recognition · Computer Science 2023-09-01 Inwoo Hwang , Hyeonwoo Kim , Young Min Kim

In this work, we study the task of sketch-guided image inpainting. Unlike the well-explored natural language-guided image inpainting, which excels in capturing semantic details, the relatively less-studied sketch-guided inpainting offers…

Computer Vision and Pattern Recognition · Computer Science 2024-04-19 Nakul Sharma , Aditay Tripathi , Anirban Chakraborty , Anand Mishra
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