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The generation of high-quality, animatable 3D head avatars from text has enormous potential in content creation applications such as games, movies, and embodied virtual assistants. Current text-to-3D generation methods typically combine…

Computer Vision and Pattern Recognition · Computer Science 2025-04-23 Yiqian Wu , Malte Prinzler , Xiaogang Jin , Siyu Tang

We introduce TurboPortrait3D: a method for low-latency novel-view synthesis of human portraits. Our approach builds on the observation that existing image-to-3D models for portrait generation, while capable of producing renderable 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-10-29 Emily Kim , Julieta Martinez , Timur Bagautdinov , Jessica Hodgins

SmartAvatar is a vision-language-agent-driven framework for generating fully rigged, animation-ready 3D human avatars from a single photo or textual prompt. While diffusion-based methods have made progress in general 3D object generation,…

Computer Vision and Pattern Recognition · Computer Science 2025-06-06 Alexander Huang-Menders , Xinhang Liu , Andy Xu , Yuyao Zhang , Chi-Keung Tang , Yu-Wing Tai

This paper presents a 3D generative model that uses diffusion models to automatically generate 3D digital avatars represented as neural radiance fields. A significant challenge in generating such avatars is that the memory and processing…

Computer Vision and Pattern Recognition · Computer Science 2022-12-13 Tengfei Wang , Bo Zhang , Ting Zhang , Shuyang Gu , Jianmin Bao , Tadas Baltrusaitis , Jingjing Shen , Dong Chen , Fang Wen , Qifeng Chen , Baining Guo

Recent advances in diffusion models such as ControlNet have enabled geometrically controllable, high-fidelity text-to-image generation. However, none of them addresses the question of adding such controllability to text-to-3D generation. In…

Computer Vision and Pattern Recognition · Computer Science 2023-09-08 Sungwon Hwang , Junha Hyung , Jaegul Choo

We introduce a novel framework for 3D human avatar generation and personalization, leveraging text prompts to enhance user engagement and customization. Central to our approach are key innovations aimed at overcoming the challenges in…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Armand Comas-Massagué , Di Qiu , Menglei Chai , Marcel Bühler , Amit Raj , Ruiqi Gao , Qiangeng Xu , Mark Matthews , Paulo Gotardo , Octavia Camps , Sergio Orts-Escolano , Thabo Beeler

With the rapid advancement of 3D representation techniques and generative models, substantial progress has been made in reconstructing full-body 3D avatars from a single image. However, this task remains fundamentally ill-posedness due to…

Computer Vision and Pattern Recognition · Computer Science 2025-09-17 Gaofeng Liu , Hengsen Li , Ruoyu Gao , Xuetong Li , Zhiyuan Ma , Tao Fang

Creating expressive, diverse and high-quality 3D avatars from highly customized text descriptions and pose guidance is a challenging task, due to the intricacy of modeling and texturing in 3D that ensure details and various styles…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Huichao Zhang , Bowen Chen , Hao Yang , Liao Qu , Xu Wang , Li Chen , Chao Long , Feida Zhu , Kang Du , Min Zheng

This paper presents an in-depth exploration of 3D human model and avatar generation technology, propelled by the rapid advancements in large-scale models and artificial intelligence. The paper reviews the comprehensive process of 3D human…

Graphics · Computer Science 2024-06-04 Lei Liu , Ke Zhao

We present DreamHuman, a method to generate realistic animatable 3D human avatar models solely from textual descriptions. Recent text-to-3D methods have made considerable strides in generation, but are still lacking in important aspects.…

Computer Vision and Pattern Recognition · Computer Science 2023-06-16 Nikos Kolotouros , Thiemo Alldieck , Andrei Zanfir , Eduard Gabriel Bazavan , Mihai Fieraru , Cristian Sminchisescu

With the increasing demand for 3D animation, generating high-fidelity, controllable 4D avatars from textual descriptions remains a significant challenge. Despite notable efforts in 4D generative modeling, existing methods exhibit…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Eddie Pokming Sheung , Qihao Liu , Wufei Ma , Prakhar Kaushik , Jianwen Xie , Alan Yuille

Creating realistic 3D objects and clothed avatars from a single RGB image is an attractive yet challenging problem. Due to its ill-posed nature, recent works leverage powerful prior from 2D diffusion models pretrained on large datasets.…

Computer Vision and Pattern Recognition · Computer Science 2025-11-27 Yuxuan Xue , Xianghui Xie , Riccardo Marin , Gerard Pons-Moll

We present a novel framework for generating high-quality, animatable 4D avatar from a single image. While recent advances have shown promising results in 4D avatar creation, existing methods either require extensive multiview data or…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Fei Yin , Mallikarjun B R , Chun-Han Yao , Rafał Mantiuk , Varun Jampani

We present RodinHD, which can generate high-fidelity 3D avatars from a portrait image. Existing methods fail to capture intricate details such as hairstyles which we tackle in this paper. We first identify an overlooked problem of…

Computer Vision and Pattern Recognition · Computer Science 2024-07-12 Bowen Zhang , Yiji Cheng , Chunyu Wang , Ting Zhang , Jiaolong Yang , Yansong Tang , Feng Zhao , Dong Chen , Baining Guo

Neural implicit fields are powerful for representing 3D scenes and generating high-quality novel views, but it remains challenging to use such implicit representations for creating a 3D human avatar with a specific identity and artistic…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Ruixiang Jiang , Can Wang , Jingbo Zhang , Menglei Chai , Mingming He , Dongdong Chen , Jing Liao

3D modeling has long been an important area in computer vision and computer graphics. Recently, thanks to the breakthroughs in neural representations and generative models, we witnessed a rapid development of 3D modeling. 3D human modeling,…

Computer Vision and Pattern Recognition · Computer Science 2024-06-07 Ruihe Wang , Yukang Cao , Kai Han , Kwan-Yee K. Wong

Recently, text-to-image generation has exhibited remarkable advancements, with the ability to produce visually impressive results. In contrast, text-to-3D generation has not yet reached a comparable level of quality. Existing methods…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Yukang Cao , Yan-Pei Cao , Kai Han , Ying Shan , Kwan-Yee K. Wong

Reconstructing photorealistic and dynamic portrait avatars from images is essential to many applications including advertising, visual effects, and virtual reality. Depending on the application, avatar reconstruction involves different…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Felix Taubner , Ruihang Zhang , Mathieu Tuli , David B. Lindell

Diffusion-based video generation techniques have significantly improved zero-shot talking-head avatar generation, enhancing the naturalness of both head motion and facial expressions. However, existing methods suffer from poor…

Graphics · Computer Science 2025-04-24 Lingzhou Mu , Baiji Liu , Ruonan Zhang , Guiming Mo , Jiawei Jin , Kai Zhang , Haozhi Huang

3D avatar creation plays a crucial role in the digital age. However, the whole production process is prohibitively time-consuming and labor-intensive. To democratize this technology to a larger audience, we propose AvatarCLIP, a zero-shot…

Computer Vision and Pattern Recognition · Computer Science 2022-05-18 Fangzhou Hong , Mingyuan Zhang , Liang Pan , Zhongang Cai , Lei Yang , Ziwei Liu