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Texturing 3D humans with semantic UV maps remains a challenge due to the difficulty of acquiring reasonably unfolded UV. Despite recent text-to-3D advancements in supervising multi-view renderings using large text-to-image (T2I) models,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-20 Yufei Liu , Junwei Zhu , Junshu Tang , Shijie Zhang , Jiangning Zhang , Weijian Cao , Chengjie Wang , Yunsheng Wu , Dongjin Huang

Emerging Metaverse applications demand accessible, accurate, and easy-to-use tools for 3D digital human creations in order to depict different cultures and societies as if in the physical world. Recent large-scale vision-language advances…

Graphics · Computer Science 2023-04-07 Longwen Zhang , Qiwei Qiu , Hongyang Lin , Qixuan Zhang , Cheng Shi , Wei Yang , Ye Shi , Sibei Yang , Lan Xu , Jingyi Yu

We present a method for zero-shot, text-driven appearance manipulation in natural images and videos. Given an input image or video and a target text prompt, our goal is to edit the appearance of existing objects (e.g., object's texture) or…

Computer Vision and Pattern Recognition · Computer Science 2022-05-26 Omer Bar-Tal , Dolev Ofri-Amar , Rafail Fridman , Yoni Kasten , Tali Dekel

We propose a learning based method for generating new animations of a cartoon character given a few example images. Our method is designed to learn from a traditionally animated sequence, where each frame is drawn by an artist, and thus the…

Computer Vision and Pattern Recognition · Computer Science 2020-10-14 Omid Poursaeed , Vladimir G. Kim , Eli Shechtman , Jun Saito , Serge Belongie

We present MAV3D (Make-A-Video3D), a method for generating three-dimensional dynamic scenes from text descriptions. Our approach uses a 4D dynamic Neural Radiance Field (NeRF), which is optimized for scene appearance, density, and motion…

Computer Vision and Pattern Recognition · Computer Science 2023-01-27 Uriel Singer , Shelly Sheynin , Adam Polyak , Oron Ashual , Iurii Makarov , Filippos Kokkinos , Naman Goyal , Andrea Vedaldi , Devi Parikh , Justin Johnson , Yaniv Taigman

Toon shading is a type of non-photorealistic rendering task of animation. Its primary purpose is to render objects with a flat and stylized appearance. As diffusion models have ascended to the forefront of image synthesis methodologies,…

Computer Vision and Pattern Recognition · Computer Science 2024-01-30 Zhongjie Duan , Chengyu Wang , Cen Chen , Weining Qian , Jun Huang

We present a method for generating colored 3D shapes from natural language. To this end, we first learn joint embeddings of freeform text descriptions and colored 3D shapes. Our model combines and extends learning by association and metric…

Computer Vision and Pattern Recognition · Computer Science 2018-03-23 Kevin Chen , Christopher B. Choy , Manolis Savva , Angel X. Chang , Thomas Funkhouser , Silvio Savarese

3D human modeling has been widely used for engaging interaction in gaming, film, and animation. The customization of these characters is crucial for creativity and scalability, which highlights the importance of controllability. In this…

Computer Vision and Pattern Recognition · Computer Science 2023-10-23 Tsu-Jui Fu , Wenhan Xiong , Yixin Nie , Jingyu Liu , Barlas Oğuz , William Yang Wang

This paper introduces a method for realistic kinetic typography that generates user-preferred animatable 'text content'. We draw on recent advances in guided video diffusion models to achieve visually-pleasing text appearances. To do this,…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Seonmi Park , Inhwan Bae , Seunghyun Shin , Hae-Gon Jeon

In recent years, 3D models have been utilized in many applications, such as auto-driver, 3D reconstruction, VR, and AR. However, the scarcity of 3D model data does not meet its practical demands. Thus, generating high-quality 3D models…

Computer Vision and Pattern Recognition · Computer Science 2023-05-26 Weizhi Nie , Ruidong Chen , Weijie Wang , Bruno Lepri , Nicu Sebe

Personalized 3D avatars require an animatable representation of digital humans. Doing so instantly from monocular videos offers scalability to broad class of users and wide-scale applications. In this paper, we present a fast, simple, yet…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Pramish Paudel , Anubhav Khanal , Ajad Chhatkuli , Danda Pani Paudel , Jyoti Tandukar

Generative Networks have proved to be extremely effective in image restoration and reconstruction in the past few years. Generating faces from textual descriptions is one such application where the power of generative algorithms can be…

Computer Vision and Pattern Recognition · Computer Science 2023-01-24 Sandeep Shinde , Tejas Pradhan , Aniket Ghorpade , Mihir Tale

Animation of humanoid characters is essential in various graphics applications, but requires significant time and cost to create realistic animations. We propose an approach to synthesize 4D animated sequences of input static 3D humanoid…

Graphics · Computer Science 2025-03-21 Marc Benedí San Millán , Angela Dai , Matthias Nießner

Accurate Story visualization requires several necessary elements, such as identity consistency across frames, the alignment between plain text and visual content, and a reasonable layout of objects in images. Most previous works endeavor to…

Computer Vision and Pattern Recognition · Computer Science 2023-05-31 Yuan Gong , Youxin Pang , Xiaodong Cun , Menghan Xia , Yingqing He , Haoxin Chen , Longyue Wang , Yong Zhang , Xintao Wang , Ying Shan , Yujiu Yang

Text-guided human body animation has advanced rapidly, yet facial animation lags due to the scarcity of well-annotated, text-paired facial corpora. To close this gap, we leverage foundation generative models to synthesize a large, balanced…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Luchuan Song , Pinxin Liu , Haiyang Liu , Zhenchao Jin , Yolo Yunlong Tang , Zichong Xu , Susan Liang , Jing Bi , Jason J Corso , Chenliang Xu

The ability to generate diverse 3D articulated head avatars is vital to a plethora of applications, including augmented reality, cinematography, and education. Recent work on text-guided 3D object generation has shown great promise in…

Computer Vision and Pattern Recognition · Computer Science 2023-07-12 Alexander W. Bergman , Wang Yifan , Gordon Wetzstein

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

Text-to-3D generation is to craft a 3D object according to a natural language description. This can significantly reduce the workload for manually designing 3D models and provide a more natural way of interaction for users. However, this…

Computer Vision and Pattern Recognition · Computer Science 2023-09-27 Han Yi , Zhedong Zheng , Xiangyu Xu , Tat-seng Chua

With captivating visual effects, stylized 3D character animation has gained widespread use in cinematic production, advertising, social media, and the potential development of virtual reality (VR) non-player characters (NPCs). However,…

Human-Computer Interaction · Computer Science 2025-08-05 Xinwu Ye , Jun-Hsiang Yao , Jielin Feng , Shuhong Mei , Xingyu Lan , Siming Chen

Generating high-fidelity 3D avatars from text or image prompts is highly sought after in virtual reality and human-computer interaction. However, existing text-driven methods often rely on iterative Score Distillation Sampling (SDS) or CLIP…

Computer Vision and Pattern Recognition · Computer Science 2026-03-05 Hong Li , Yutang Feng , Minqi Meng , Yichen Yang , Xuhui Liu , Baochang Zhang