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Sketches offer designers a concise yet expressive medium for early-stage fashion ideation by specifying structure, silhouette, and spatial relationships, while textual descriptions complement sketches to convey material, color, and…

Computer Vision and Pattern Recognition · Computer Science 2026-02-23 Ziyue Liu , Davide Talon , Federico Girella , Zanxi Ruan , Mattia Mondo , Loris Bazzani , Yiming Wang , Marco Cristani

Existing generative approaches for guided image synthesis of multi-object scenes typically rely on 2D controls in the image or text space. As a result, these methods struggle to maintain and respect consistent three-dimensional geometric…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Léopold Maillard , Tom Durand , Adrien Ramanana Rahary , Maks Ovsjanikov

Diffusion models excel in image generation but lack detailed semantic control using text prompts. Additional techniques have been developed to address this limitation. However, conditioning diffusion models solely on text-based descriptions…

Computer Vision and Pattern Recognition · Computer Science 2023-10-17 Frank Fundel

Existing text-based 3D generation methods generate attractive results but lack detailed geometry control. Sketches, known for their conciseness and expressiveness, have contributed to intuitive 3D modeling but are confined to producing…

Graphics · Computer Science 2024-05-15 Feng-Lin Liu , Hongbo Fu , Yu-Kun Lai , Lin Gao

We demonstrate that pre-trained text-to-image diffusion models, despite being trained on raster images, possess a remarkable capacity to guide vector sketch synthesis. In this paper, we introduce DiffSketcher, a novel algorithm for…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Ximing Xing , Chuang Wang , Haitao Zhou , Jing Zhang , Qian Yu , Dong Xu

Generating images from human sketches typically requires dedicated networks trained from scratch. In contrast, the emergence of the pre-trained Vision-Language models (e.g., CLIP) has propelled generative applications based on controlling…

Computer Vision and Pattern Recognition · Computer Science 2023-10-31 Shaocong Zhang

Sketching is an important activity in any design process. Designers and stakeholders share their ideas through hand-drawn sketches. These sketches are further used to create 3D models. Current methods to generate 3D models from sketches are…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Nitish Bhardwaj , Dhornala Bharadwaj , Alpana Dubey

Scene graphs offer a structured, hierarchical representation of images, with nodes and edges symbolizing objects and the relationships among them. It can serve as a natural interface for image editing, dramatically improving precision and…

Computer Vision and Pattern Recognition · Computer Science 2024-10-16 Zhiyuan Zhang , DongDong Chen , Jing Liao

With the advancement of generative artificial intelligence, previous studies have achieved the task of generating aesthetic images from hand-drawn sketches, fulfilling the public's needs for drawing. However, these methods are limited to…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Lifan Jiang , Shuang Chen , Boxi Wu , Xiaotong Guan , Jiahui Zhang

We propose a method that can generate cinemagraphs automatically from a still landscape image using a pre-trained StyleGAN. Inspired by the success of recent unconditional video generation, we leverage a powerful pre-trained image generator…

Computer Vision and Pattern Recognition · Computer Science 2024-03-22 Jongwoo Choi , Kwanggyoon Seo , Amirsaman Ashtari , Junyong Noh

In this paper we investigate image generation guided by hand sketch. When the input sketch is badly drawn, the output of common image-to-image translation follows the input edges due to the hard condition imposed by the translation process.…

Computer Vision and Pattern Recognition · Computer Science 2018-07-27 Yongyi Lu , Shangzhe Wu , Yu-Wing Tai , Chi-Keung Tang

In layout-to-image (L2I) synthesis, controlled complex scenes are generated from coarse information like bounding boxes. Such a task is exciting to many downstream applications because the input layouts offer strong guidance to the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Ruyu Wang , Xuefeng Hou , Sabrina Schmedding , Marco F. Huber

Advancements in generative models have sparked significant interest in generating images while adhering to specific structural guidelines. Scene graph to image generation is one such task of generating images which are consistent with the…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Rameshwar Mishra , A V Subramanyam

Sketching is inherently a sequential process, in which strokes are drawn in a meaningful order to explore and refine ideas. However, most generative models treat sketches as static images, overlooking the temporal structure that underlies…

Computer Vision and Pattern Recognition · Computer Science 2026-02-18 Hui Ren , Yuval Alaluf , Omer Bar Tal , Alexander Schwing , Antonio Torralba , Yael Vinker

Synthesizing natural human motion that adapts to complex environments while allowing creative control remains a fundamental challenge in motion synthesis. Existing models often fall short, either by assuming flat terrain or lacking the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-23 Xiaohan Zhang , Sebastian Starke , Vladimir Guzov , Zhensong Zhang , Eduardo Pérez Pellitero , Gerard Pons-Moll

Diffusion models have demonstrated remarkable performance in text-to-image synthesis, producing realistic and high resolution images that faithfully adhere to the corresponding text-prompts. Despite their great success, they still fall…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Ilias Mitsouras , Eleftherios Tsonis , Paraskevi Tzouveli , Athanasios Voulodimos

Recent advances in vision-language models have facilitated progress in sketch generation. However, existing specialized methods primarily focus on generic synthesis and lack mechanisms for precise control over sketch styles. In this work,…

Computer Vision and Pattern Recognition · Computer Science 2025-11-07 Tengjie Li , Shikui Tu , Lei Xu

Sketching serves as a versatile tool for externalizing ideas, enabling rapid exploration and visual communication that spans various disciplines. While artificial systems have driven substantial advances in content creation and…

Computer Vision and Pattern Recognition · Computer Science 2024-11-27 Yael Vinker , Tamar Rott Shaham , Kristine Zheng , Alex Zhao , Judith E Fan , Antonio Torralba

Hand-drawn sketches are a natural and efficient medium for capturing and conveying ideas. Despite significant advancements in controllable natural image generation, translating freehand sketches into structured, machine-readable diagrams…

Artificial Intelligence · Computer Science 2025-08-05 Cheng Tan , Qi Chen , Jingxuan Wei , Gaowei Wu , Zhangyang Gao , Siyuan Li , Bihui Yu , Ruifeng Guo , Stan Z. Li

Generating images from hand-drawings is a crucial and fundamental task in content creation. The translation is difficult as there exist infinite possibilities and the different users usually expect different outcomes. Therefore, we propose…

Computer Vision and Pattern Recognition · Computer Science 2022-09-02 Shin-I Cheng , Yu-Jie Chen , Wei-Chen Chiu , Hung-Yu Tseng , Hsin-Ying Lee