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Current text-to-avatar methods often rely on implicit representations (e.g., NeRF, SDF, and DMTet), leading to 3D content that artists cannot easily edit and animate in graphics software.
Marching Cubes: A High Resolution 3D Surface Construction Algorithm
William E. Lorensen and Harvey E. Cline · 1987
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A Morphable Model for the Synthesis of 3D Faces
Volker Blanz and Thomas Vetter · 1999
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Mesh Editing with Poisson-Based Gradient Field Manipulation
Yizhou Yu, Kun Zhou, Dong Xu, Xiaohan Shi, Hujun Bao, Baining Guo, and Heung-Yeung Shum · 2004
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Automated Avatar Creation for 3D Games
Andrew Hogue, Sunbir Gill, and Michael Jenkin · 2007
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Locally Injective Mappings
Christian Schüller, Ladislav Kavan, Daniele Panozzo, and Olga Sorkine-Hornung · 2013
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Generative Adversarial Nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Avatar Digitization from a Single Image for Real-time Rendering
Liwen Hu, Shunsuke Saito, Lingyu Wei, Koki Nagano, Jaewoo Seo, Jens Fursund, Iman Sadeghi, Carrie Sun, Yen-Chun Chen, and Hao Li · 2017
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Learning a Model of Facial Shape and Expression from 4D Scans
Tianye Li, Timo Bolkart, Michael J. Black, Hao Li, and Javier Romero · 2017
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Automatic Unpaired Shape Deformation Transfer
Lin Gao, Jie Yang, Yi-Ling Qiao, Yu-Kun Lai, Paul L. Rosin, Weiwei Xu, and Shihong Xia · 2018
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Morphable Face Models - An Open Framework
Thomas Gerig, Andreas Morel-Forster, Clemens Blumer, Bernhard Egger, Marcel Luthi, Sandro Schoenborn, and Thomas Vetter · 2018
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MediaPipe: A Framework for Building Perception Pipelines
Camillo Lugaresi, Jiuqiang Tang, Hadon Nash, Chris McClanahan, Esha Uboweja, Michael Hays, Fan Zhang, Chuo-Ling Chang, Ming Guang Yong, Juhyun Lee, Wan-Teh Chang, Wei Hua, Manfred Georg, and Matthias Grundmann · 2019
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Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, and Michael J. Black · 2019
Earlier work this paper cites.
Fast and Deep Facial Deformations
Stephen W. Bailey, Dalton Omens, Paul Dilorenzo, and James F. O’Brien · 2020
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Generative Adversarial Networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2020
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Denoising Diffusion Probabilistic Models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Learning Formation of Physically-Based Face Attributes
Ruilong Li, Karl Bladin, Yajie Zhao, Chinmay Chinara, Owen Ingraham, Pengda Xiang, Xinglei Ren, Pratusha Prasad, Bipin Kishore, Jun Xing, and Hao Li · 2020
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Denoising Diffusion Implicit Models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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FaceScape: a Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
Haotian Yang, Hao Zhu, Yanru Wang, Mingkai Huang, Qiu Shen, Ruigang Yang, and Xun Cao · 2020
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Neural Cages for Detail-Preserving 3D Deformations
Wang Yifan, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, and Olga Sorkine-Hornung · 2020
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Large Steps in Inverse Rendering of Geometry
Baptiste Nicolet, Alec Jacobson, and Wenzel Jakob · 2021
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Learning Transferable Visual Models From Natural Language Supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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Deep Marching Tetrahedra: a Hybrid Representation for High-resolution 3D Shape Synthesis
Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, and Sanja Fidler · 2021
Earlier work this paper cites.
3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations
Kangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis, and Sanja Fidler · 2021
Cited alongside, same era.
A Deep Emulator for Secondary Motion of 3D Characters
Mianlun Zheng, Yi Zhou, Duygu Ceylan, and Jernej Barbič · 2021
Cited alongside, same era.
Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes
Noam Aigerman, Kunal Gupta, Vladimir G. Kim, Siddhartha Chaudhuri, Jun Saito, and Thibault Groueix · 2022
Cited alongside, same era.
AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
Fangzhou Hong, Mingyuan Zhang, Liang Pan, Zhongang Cai, Lei Yang, and Ziwei Liu · 2022
Cited alongside, same era.
AvatarCLIP: Zero-shot Text-driven Generation and Animation of 3D Avatars
Fangzhou Hong, Mingyuan Zhang, Liang Pan, Zhongang Cai, Lei Yang, and Ziwei Liu · 2022
Cited alongside, same era.
DreamFusion: Text-to-3D using 2D Diffusion
Rodin: A Generative Model for sculpting 3D Digital Avatars Using Diffusion
Tengfei Wang, Bo Zhang, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, et al · 2023
Later among the works it cites.
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, and Jun Zhu · 2023
Later among the works it cites.
Bridging the Generational Gap: Exploring How Virtual Reality Supports Remote Communication Between Grandparents and Grandchildren
Xiaoying Wei, Yizheng Gu, Emily Kuang, Xian Wang, Beiyan Cao, Xiaofu Jin, and Mingming Fan · 2023
Later among the works it cites.
SEEAvatar: Photorealistic Text-to-3D Avatar Generation with Constrained Geometry and Appearance
Yuanyou Xu, Zongxin Yang, and Yi Yang · 2023
Later among the works it cites.
Towards High-fidelity Text-guided 3D Face Generation and Manipulation Using Only Images
Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, and Hang Xu · 2023
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Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall · 2022
Cited alongside, same era.
High-Resolution Image Synthesis With Latent Diffusion Models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
ClipFace: Text-Guided Editing of Textured 3D Morphable Models
Shivangi Aneja, Justus Thies, Angela Dai, and Matthias Nießner · 2023
Cited alongside, same era.
DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models
Yukang Cao, Yan-Pei Cao, Kai Han, Ying Shan, and Kwan-Yee K Wong · 2023
Cited alongside, same era.
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
Rui Chen, Yongwei Chen, Ningxin Jiao, and Kui Jia · 2023
Cited alongside, same era.
Dancing with the Avatars: Minimal Avatar Customisation Enhances Learning in a Psychomotor Task
Isabel Fitton, Christopher Clarke, Jeremy Dalton, Michael J. Proulx, and Christof Lutteroth · 2023
Cited alongside, same era.
TextDeformer: Geometry Manipulation Using Text Guidance
William Gao, Noam Aigerman, Thibault Groueix, Vova Kim, and Rana Hanocka · 2023
Cited alongside, same era.
Later among the works it cites.
AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation, 2023
Yifei Zeng, Yuanxun Lu, Xinya Ji, Yao Yao, Hao Zhu, and Xun Cao · 2023
Later among the works it cites.
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
Chi Zhang, Yiwen Chen, Yijun Fu, Zhenglin Zhou, Gang Yu, Billzb Wang, Bin Fu, Tao Chen, Guosheng Lin, and Chunhua Shen · 2023
Later among the works it cites.
Text-Guided Generation and Editing of Compositional 3D Avatars
Hao Zhang, Yao Feng, Peter Kulits, Yandong Wen, Justus Thies, and Michael J. Black · 2023
Later among the works it cites.
AvatarStudio: High-fidelity and Animatable 3D Avatar Creation from Text, 2023
Jianfeng Zhang, Xuanmeng Zhang, Huichao Zhang, Jun Hao Liew, Chenxu Zhang, Yi Yang, and Jiashi Feng · 2023
Later among the works it cites.
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance
Longwen Zhang, Qiwei Qiu, Hongyang Lin, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang, Lan Xu, and Jingyi Yu · 2023
Later among the works it cites.
Adding Conditional Control to Text-to-image Diffusion Models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
Later among the works it cites.
HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation
Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, and Qing Wang · 2024
Closest in time.
TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling
Dong Huo, Zixin Guo, Xinxin Zuo, Zhihao Shi, Juwei Lu, Peng Dai, Songcen Xu, Li Cheng, and Yee-Hong Yang · 2024
Closest in time.
Realistic Vision 5.1
Adhik Joshi and Akash Guptag · 2024
Closest in time.
DreamHuman: Animatable 3D Avatars from Text
Nikos Kolotouros, Thiemo Alldieck, Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Fieraru, and Cristian Sminchisescu · 2024
Closest in time.
LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching
Yixun Liang, Xin Yang, Jiantao Lin, Haodong Li, Xiaogang Xu, and Yingcong Chen · 2024
Closest in time.
TADA! Text to Animatable Digital Avatars
Tingting Liao, Hongwei Yi, Yuliang Xiu, Jiaxiang Tang, Yangyi Huang, Justus Thies, and Michael J. Black · 2024
Closest in time.
EASI-Tex: Edge-Aware Mesh Texturing from Single Image
Sai Raj Kishore Perla, Yizhi Wang, Ali Mahdavi-Amiri, and Hao Zhang · 2024
Closest in time.
RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D
Lingteng Qiu, Guanying Chen, Xiaodong Gu, Qi Zuo, Mutian Xu, Yushuang Wu, Weihao Yuan, Zilong Dong, Liefeng Bo, and Xiaoguang Han · 2024
Closest in time.
As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors
Seungwoo Yoo, Kunho Kim, Vladimir G. Kim, and Minhyuk Sung · 2024
Closest in time.
HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting
Zhenglin Zhou, Fan Ma, Hehe Fan, and Yi Yang · 2024
Closest in time.