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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

Sketches are a natural and accessible medium for UI designers to conceptualize early-stage ideas. However, existing research on UI/UX automation often requires high-fidelity inputs like Figma designs or detailed screenshots, limiting…

Computation and Language · Computer Science 2024-10-22 Ryan Li , Yanzhe Zhang , Diyi Yang

3D model reconstruction from a single image has achieved great progress with the recent deep generative models. However, the conventional reconstruction approaches with template mesh deformation and implicit fields have difficulty in…

Graphics · Computer Science 2023-03-02 Yi He , Haoran Xie , Kazunori Miyata

Significant progress has recently been made in creative applications of large pre-trained models for downstream tasks in 3D vision, such as text-to-shape generation. This motivates our investigation of how these pre-trained models can be…

Computer Vision and Pattern Recognition · Computer Science 2023-07-11 Aditya Sanghi , Pradeep Kumar Jayaraman , Arianna Rampini , Joseph Lambourne , Hooman Shayani , Evan Atherton , Saeid Asgari Taghanaki

Traditional 3D content creation tools empower users to bring their imagination to life by giving them direct control over a scene's geometry, appearance, motion, and camera path. Creating computer-generated videos, however, is a tedious…

Computer Vision and Pattern Recognition · Computer Science 2023-12-05 Shengqu Cai , Duygu Ceylan , Matheus Gadelha , Chun-Hao Paul Huang , Tuanfeng Yang Wang , Gordon Wetzstein

We propose a systematic learning-based approach to the generation of massive quantities of synthetic 3D scenes and arbitrary numbers of photorealistic 2D images thereof, with associated ground truth information, for the purposes of…

Computer Vision and Pattern Recognition · Computer Science 2018-06-21 Chenfanfu Jiang , Siyuan Qi , Yixin Zhu , Siyuan Huang , Jenny Lin , Lap-Fai Yu , Demetri Terzopoulos , Song-Chun Zhu

The rapid progress in diffusion models, transformers, and language agents has unlocked new possibilities, yet their potential in user interfaces and commercial applications remains underexplored. We present Sketch-Search Agent, a novel…

Information Retrieval · Computer Science 2025-04-15 Edward Sun

Cinemagraphs are a compelling way to convey dynamic aspects of a scene. In these media, dynamic and still elements are juxtaposed to create an artistic and narrative experience. Creating a high-quality, aesthetically pleasing cinemagraph…

Computer Vision and Pattern Recognition · Computer Science 2017-08-11 Tae-Hyun Oh , Kyungdon Joo , Neel Joshi , Baoyuan Wang , In So Kweon , Sing Bing Kang

Recent advances in diffusion models have significantly improved text-to-image (T2I) generation, but they often struggle to balance fine-grained precision with high-level control. Methods like ControlNet and T2I-Adapter excel at following…

Computer Vision and Pattern Recognition · Computer Science 2025-04-11 Pouyan Navard , Amin Karimi Monsefi , Mengxi Zhou , Wei-Lun Chao , Alper Yilmaz , Rajiv Ramnath

Text-to-Image models have introduced a remarkable leap in the evolution of machine learning, demonstrating high-quality synthesis of images from a given text-prompt. However, these powerful pretrained models still lack control handles that…

Computer Vision and Pattern Recognition · Computer Science 2022-11-28 Andrey Voynov , Kfir Aberman , Daniel Cohen-Or

Storyboarding is widely used for creating 3D animations. Animators use the 2D sketches in storyboards as references to craft the desired 3D animations through a trial-and-error process. The traditional approach requires exceptional…

Graphics · Computer Science 2025-04-29 Lei Zhong , Chuan Guo , Yiming Xie , Jiawei Wang , Changjian Li

Diffusion probabilistic models have achieved remarkable success in text guided image generation. However, generating 3D shapes is still challenging due to the lack of sufficient data containing 3D models along with their descriptions.…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Zijie Wu , Yaonan Wang , Mingtao Feng , He Xie , Ajmal Mian

In recent years, the recognition of free-hand sketches has remained a popular task. However, in some special fields such as the military field, free-hand sketches are difficult to sample on a large scale. Common data augmentation and image…

Computer Vision and Pattern Recognition · Computer Science 2024-01-11 Jiajun Liu , Siyuan Wang , Guangming Zhu , Liang Zhang , Ning Li , Eryang Gao

Diffusion models have recently demonstrated their effectiveness in generating extremely high-quality images and are now utilized in a wide range of applications, including automatic sketch colorization. Although many methods have been…

Computer Vision and Pattern Recognition · Computer Science 2024-07-04 Dingkun Yan , Liang Yuan , Erwin Wu , Yuma Nishioka , Issei Fujishiro , Suguru Saito

Given a still photograph, one can imagine how dynamic objects might move against a static background. This idea has been actualized in the form of cinemagraphs, where the motion of particular objects within a still image is repeated, giving…

Computer Vision and Pattern Recognition · Computer Science 2018-01-30 Yipin Zhou , Yale Song , Tamara L. Berg

Denoising diffusion models have shown great promise in human motion synthesis conditioned on natural language descriptions. However, integrating spatial constraints, such as pre-defined motion trajectories and obstacles, remains a challenge…

Computer Vision and Pattern Recognition · Computer Science 2023-10-31 Korrawe Karunratanakul , Konpat Preechakul , Supasorn Suwajanakorn , Siyu Tang

2D concept art generation for 3D scenes is a crucial yet challenging task in computer graphics, as creating natural intuitive environments still demands extensive manual effort in concept design. While generative AI has simplified 2D…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Zhenhong Sun , Yifu Wang , Yonhon Ng , Yongzhi Xu , Daoyi Dong , Hongdong Li , Pan Ji

Sketching provides an intuitive way to convey dynamic intent in animation authoring (i.e., how elements change over time and space), making it a natural medium for automatic content creation. Yet existing approaches often constrain sketches…

Human-Computer Interaction · Computer Science 2026-01-29 Boyu Li , Lin-Ping Yuan , Zeyu Wang , Hongbo Fu

Scene synthesis is a challenging problem with several industrial applications. Recently, substantial efforts have been directed to synthesize the scene using human motions, room layouts, or spatial graphs as the input. However, few studies…

Computer Vision and Pattern Recognition · Computer Science 2023-10-25 An Vuong , Minh Nhat Vu , Toan Tien Nguyen , Baoru Huang , Dzung Nguyen , Thieu Vo , Anh Nguyen

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