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This paper explores multi-modal controllable Text-to-Speech Synthesis (TTS) where the voice can be generated from face image, and the characteristics of output speech (e.g., pace, noise level, distance, tone, place) can be controllable with…

Audio and Speech Processing · Electrical Eng. & Systems 2025-05-27 Minsu Kim , Pingchuan Ma , Honglie Chen , Stavros Petridis , Maja Pantic

Designing high-quality indoor 3D scenes is important in many practical applications, such as room planning or game development. Conventionally, this has been a time-consuming process which requires both artistic skill and familiarity with…

Computer Vision and Pattern Recognition · Computer Science 2024-07-31 Başak Melis Öcal , Maxim Tatarchenko , Sezer Karaoglu , Theo Gevers

Vision-and-Language Navigation (VLN) requires the agent to follow language instructions to navigate through 3D environments. One main challenge in VLN is the limited availability of photorealistic training environments, which makes it hard…

Computer Vision and Pattern Recognition · Computer Science 2023-05-31 Jialu Li , Mohit Bansal

Despite the rapid advancements in text-to-image (T2I) synthesis, enabling precise visual control remains a significant challenge. Existing works attempted to incorporate multi-facet controls (text and sketch), aiming to enhance the creative…

Computer Vision and Pattern Recognition · Computer Science 2024-12-31 Zhipeng Chen , Lan Yang , Yonggang Qi , Honggang Zhang , Kaiyue Pang , Ke Li , Yi-Zhe Song

Recently, significant advancements have been made in diffusion-based visual text generation models. Although the effectiveness of these methods in visual text rendering is rapidly improving, they still encounter challenges such as…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Lichen Ma , Tiezhu Yue , Pei Fu , Yujie Zhong , Kai Zhou , Xiaoming Wei , Jie Hu

Three-dimensional scene generation is crucial in computer vision, with applications spanning autonomous driving, gaming and the metaverse. Current methods either lack user control or rely on imprecise, non-intuitive conditions. In this…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Yuheng Liu , Xinke Li , Yuning Zhang , Lu Qi , Xin Li , Wenping Wang , Chongshou Li , Xueting Li , Ming-Hsuan Yang

With the rapid development of Large Language Models (LLMs), Controllable Text Generation (CTG) has become a critical technology for enhancing system reliability and user experience. Addressing the limitations of traditional methods, this…

Computation and Language · Computer Science 2025-09-23 Yan Zhuang , Yuan Sun

Text-driven 3D scene generation has seen significant advancements recently. However, most existing methods generate single-view images using generative models and then stitch them together in 3D space. This independent generation for each…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Wenrui Li , Fucheng Cai , Yapeng Mi , Zhe Yang , Wangmeng Zuo , Xingtao Wang , Xiaopeng Fan

Scene text magnifier aims to magnify text in natural scene images without recognition. It could help the special groups, who have myopia or dyslexia to better understand the scene. In this paper, we design the scene text magnifier through…

Computer Vision and Pattern Recognition · Computer Science 2019-07-08 Toshiki Nakamura , Anna Zhu , Seiichi Uchida

Scene text retrieval aims to localize and search all text instances from an image gallery, which are the same or similar to a given query text. Such a task is usually realized by matching a query text to the recognized words, outputted by…

Computer Vision and Pattern Recognition · Computer Science 2021-04-06 Hao Wang , Xiang Bai , Mingkun Yang , Shenggao Zhu , Jing Wang , Wenyu Liu

Recent text-to-image models have revolutionized image generation, but they still struggle with maintaining concept consistency across generated images. While existing works focus on character consistency, they often overlook the crucial…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Quanjian Song , Donghao Zhou , Jingyu Lin , Fei Shen , Jiaze Wang , Xiaowei Hu , Cunjian Chen , Pheng-Ann Heng

In this work, we introduce FlexGen, a flexible framework designed to generate controllable and consistent multi-view images, conditioned on a single-view image, or a text prompt, or both. FlexGen tackles the challenges of controllable…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Xinli Xu , Wenhang Ge , Jiantao Lin , Jiawei Feng , Lie Xu , HanFeng Zhao , Shunsi Zhang , Ying-Cong Chen

Scalable Vector Graphics (SVG) are central to digital design due to their inherent scalability and editability. Despite significant advancements in content generation enabled by Visual Language Models (VLMs), existing text-to-SVG generation…

Computer Vision and Pattern Recognition · Computer Science 2026-03-11 Feiyu Wang , Jiayuan Yang , Zhiyuan Zhao , Da Zhang , Bingyu Li , Peng Liu , Junyu Gao

We introduce ScenarioControl, the first vision-language control mechanism for learned driving scenario generation. Given a text prompt or an input image, Scenario-Control synthesizes diverse, realistic 3D scenario rollouts - including map,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Lili Gao , Yanbo Xu , William Koch , Samuele Ruffino , Luke Rowe , Behdad Chalaki , Dmitriy Rivkin , Julian Ost , Roger Girgis , Mario Bijelic , Felix Heide

Text-guided scalable vector graphics (SVG) synthesis has broad applications in icon and sketch generation. However, existing text-to-SVG methods often suffer from limited editability, suboptimal visual quality, and low sample diversity. To…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Ximing Xing , Haitao Zhou , Chuang Wang , Jing Zhang , Dong Xu , Qian Yu

Text-driven large scene image synthesis has made significant progress with diffusion models, but controlling it is challenging. While using additional spatial controls with corresponding texts has improved the controllability of large scene…

Computer Vision and Pattern Recognition · Computer Science 2023-12-01 Gwanghyun Kim , Dong Un Kang , Hoigi Seo , Hayeon Kim , Se Young Chun

Visual spatial description (VSD) aims to generate texts that describe the spatial relations of the given objects within images. Existing VSD work merely models the 2D geometrical vision features, thus inevitably falling prey to the problem…

Computer Vision and Pattern Recognition · Computer Science 2023-05-26 Yu Zhao , Hao Fei , Wei Ji , Jianguo Wei , Meishan Zhang , Min Zhang , Tat-Seng Chua

Scene text detection has been made great progress in recent years. The detection manners are evolving from axis-aligned rectangle to rotated rectangle and further to quadrangle. However, current datasets contain very little curve text,…

Computer Vision and Pattern Recognition · Computer Science 2017-12-07 Liu Yuliang , Jin Lianwen , Zhang Shuaitao , Zhang Sheng

This work demonstrates that diffusion models can achieve font-controllable multilingual text rendering using just raw images without font label annotations.Visual text rendering remains a significant challenge. While recent methods…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Bowen Jiang , Yuan Yuan , Xinyi Bai , Zhuoqun Hao , Alyson Yin , Yaojie Hu , Wenyu Liao , Lyle Ungar , Camillo J. Taylor

Despite recent advances in text-conditioned 3D indoor scene generation, there remain gaps in the evaluation of these methods. Existing metrics often measure realism by comparing generated scenes to a set of ground-truth scenes, but they…

Graphics · Computer Science 2026-03-10 Hou In Ivan Tam , Hou In Derek Pun , Austin T. Wang , Angel X. Chang , Manolis Savva
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