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Related papers: 4-Doodle: Text to 3D Sketches that Move!

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Prompt-driven scene synthesis allows users to generate complete 3D environments from textual descriptions. Current text-to-scene methods often struggle with complex geometries and object transformations, and tend to show weak adherence to…

Computer Vision and Pattern Recognition · Computer Science 2025-11-14 Frédéric Berdoz , Luca A. Lanzendörfer , Nick Tuninga , Roger Wattenhofer

We present 4DNeX, the first feed-forward framework for generating 4D (i.e., dynamic 3D) scene representations from a single image. In contrast to existing methods that rely on computationally intensive optimization or require multi-frame…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Zhaoxi Chen , Tianqi Liu , Long Zhuo , Jiawei Ren , Zeng Tao , He Zhu , Fangzhou Hong , Liang Pan , Ziwei Liu

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 introduce 3D4D, an interactive 4D visualization framework that integrates WebGL with Supersplat rendering. It transforms static images and text into coherent 4D scenes through four core modules and employs a foveated rendering strategy…

Computer Vision and Pattern Recognition · Computer Science 2025-11-12 Yunhong He , Zhengqing Yuan , Zhengzhong Tu , Yanfang Ye , Lichao Sun

Text-to-3D generation has attracted much attention from the computer vision community. Existing methods mainly optimize a neural field from scratch for each text prompt, relying on heavy and repetitive training cost which impedes their…

Computer Vision and Pattern Recognition · Computer Science 2024-04-30 Ming Li , Pan Zhou , Jia-Wei Liu , Jussi Keppo , Min Lin , Shuicheng Yan , Xiangyu Xu

Sketching and natural languages are effective communication media for interactive applications. We introduce Sketchforme, the first neural-network-based system that can generate sketches based on text descriptions specified by users.…

Human-Computer Interaction · Computer Science 2019-04-10 Forrest Huang , John F. Canny

Current generative models struggle to synthesize dynamic 4D driving scenes that simultaneously support temporal extrapolation and spatial novel view synthesis (NVS) without per-scene optimization. A key challenge lies in finding an…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Jiazhe Guo , Yikang Ding , Xiwu Chen , Shuo Chen , Bohan Li , Yingshuang Zou , Xiaoyang Lyu , Feiyang Tan , Xiaojuan Qi , Zhiheng Li , Hao Zhao

Recent advances in diffusion models have demonstrated exceptional capabilities in image and video generation, further improving the effectiveness of 4D synthesis. Existing 4D generation methods can generate high-quality 4D objects or scenes…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Bohan Zeng , Ling Yang , Siyu Li , Jiaming Liu , Zixiang Zhang , Juanxi Tian , Kaixin Zhu , Yongzhen Guo , Fu-Yun Wang , Minkai Xu , Stefano Ermon , Wentao Zhang

Enabling agents to understand and interact with complex 3D scenes is a fundamental challenge for embodied artificial intelligence systems. While Multimodal Large Language Models (MLLMs) have achieved significant progress in 2D image…

Computer Vision and Pattern Recognition · Computer Science 2025-09-23 Haoyuan Li , Rui Liu , Hehe Fan , Yi Yang

We present Free4D, a novel tuning-free framework for 4D scene generation from a single image. Existing methods either focus on object-level generation, making scene-level generation infeasible, or rely on large-scale multi-view video…

Computer Vision and Pattern Recognition · Computer Science 2025-03-27 Tianqi Liu , Zihao Huang , Zhaoxi Chen , Guangcong Wang , Shoukang Hu , Liao Shen , Huiqiang Sun , Zhiguo Cao , Wei Li , Ziwei Liu

Text-driven 3D scene generation is widely applicable to video gaming, film industry, and metaverse applications that have a large demand for 3D scenes. However, existing text-to-3D generation methods are limited to producing 3D objects with…

Computer Vision and Pattern Recognition · Computer Science 2024-02-01 Jingbo Zhang , Xiaoyu Li , Ziyu Wan , Can Wang , Jing Liao

Generating natural human motion from a story has the potential to transform the landscape of animation, gaming, and film industries. A new and challenging task, Story-to-Motion, arises when characters are required to move to various…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Zhongfei Qing , Zhongang Cai , Zhitao Yang , Lei Yang

We introduce GroupSketch, a novel method for vector sketch animation that effectively handles multi-object interactions and complex motions. Existing approaches struggle with these scenarios, either being limited to single-object cases or…

Computer Vision and Pattern Recognition · Computer Science 2025-08-22 Guotao Liang , Juncheng Hu , Ximing Xing , Jing Zhang , Qian Yu

As 3D models become critical in today's manufacturing and product design, conventional 3D modeling approaches based on Computer-Aided Design (CAD) are labor-intensive, time-consuming, and have high demands on the creators. This work aims to…

Multimedia · Computer Science 2023-10-31 Ying Zang , Chenglong Fu , Tianrun Chen , Yuanqi Hu , Qingshan Liu , Wenjun Hu

Video generation and editing conditioned on text prompts or images have undergone significant advancements. However, challenges remain in accurately controlling global layout and geometry details solely by texts, and supporting motion…

Graphics · Computer Science 2025-04-01 Feng-Lin Liu , Hongbo Fu , Xintao Wang , Weicai Ye , Pengfei Wan , Di Zhang , Lin Gao

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

Sketch-based modeling strives to bring the ease and immediacy of drawing to the 3D world. However, while drawings are easy for humans to create, they are very challenging for computers to interpret due to their sparsity and ambiguity. We…

Graphics · Computer Science 2018-06-20 Johanna Delanoy , Mathieu Aubry , Phillip Isola , Alexei A. Efros , Adrien Bousseau

Text-to-Image (T2I) diffusion models have recently gained traction for their versatility and user-friendliness in 2D content generation and editing. However, training a diffusion model specifically for 3D scene editing is challenging due to…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Nazmul Karim , Hasan Iqbal , Umar Khalid , Jing Hua , Chen Chen

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

Recent advances in 4D content generation have attracted increasing attention, yet creating high-quality animated 3D models remains challenging due to the complexity of modeling spatio-temporal distributions and the scarcity of 4D training…

Computer Vision and Pattern Recognition · Computer Science 2026-04-30 Zijie Wu , Chaohui Yu , Fan Wang , Xiang Bai
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