Fetching the paper…
Reading the bibliography…
Generating 3D human models directly from text helps reduce the cost and time of character modeling.
“Smpl: A skinned multi-person linear model,”
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black, · 2015
Earlier work this paper cites.
“Deepfashion: Powering robust clothes recognition and retrieval with rich annotations,”
Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang, · 2016
Earlier work this paper cites.
“Nerf: Representing scenes as neural radiance fields for view synthesis,”
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng, · 2020
Earlier work this paper cites.
“Interpreting the latent space of gans for semantic face editing,”
Yujun Shen, Jinjin Gu, Xiaoou Tang, and Bolei Zhou, · 2020
Earlier work this paper cites.
“Self-correction for human parsing,”
Peike Li, Yunqiu Xu, Yunchao Wei, and Yi Yang, · 2020
Earlier work this paper cites.
“Styleflow: Attribute-conditioned exploration of stylegan-generated images using conditional continuous normalizing flows,”
Rameen Abdal, Peihao Zhu, Niloy J Mitra, and Peter Wonka, · 2021
Earlier work this paper cites.
“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, et al., · 2021
Earlier work this paper cites.
“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.
“Clip-nerf: Text-and-image driven manipulation of neural radiance fields,”
Can Wang, Menglei Chai, Mingming He, Dongdong Chen, and Jing Liao, · 2022
Cited alongside, same era.
“Clip-mesh: Generating textured meshes from text using pretrained image-text models,”
Nasir Mohammad Khalid, Tianhao Xie, Eugene Belilovsky, and Tiberiu Popa, · 2022
Cited alongside, same era.
“Pix2nerf: Unsupervised conditional p-gan for single image to neural radiance fields translation,”
Shengqu Cai, Anton Obukhov, Dengxin Dai, and Luc Van Gool, · 2022
Cited alongside, same era.
“Text2human: Text-driven controllable human image generation,”
Yuming Jiang, Shuai Yang, Haonan Qiu, Wayne Wu, Chen Change Loy, and Ziwei Liu, · 2022
Cited alongside, same era.
“Tech: Text-guided reconstruction of lifelike clothed humans,”
Yangyi Huang, Hongwei Yi, Yuliang Xiu, Tingting Liao, Jiaxiang Tang, Deng Cai, and Justus Thies, · 2023
Later among the works it cites.
“Consistent123: One image to highly consistent 3d asset using case-aware diffusion priors,”
Yukang Lin, Haonan Han, Chaoqun Gong, Zunnan Xu, Yachao Zhang, and Xiu Li, · 2023
Later among the works it cites.
“EVA3d: Compositional 3d human generation from 2d image collections,”
Fangzhou Hong, Zhaoxi Chen, Yushi LAN, Liang Pan, and Ziwei Liu, · 2023
Later among the works it cites.
“Finedance: A fine-grained choreography dataset for 3d full body dance generation,”
Ronghui Li, Junfan Zhao, Yachao Zhang, Mingyang Su, Zeping Ren, Han Zhang, Yansong Tang, and Xiu Li, · 2023
Later among the works it cites.
“Follow your pose: Pose-guided text-to-video generation using pose-free videos,”
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
“Dreamfusion: Text-to-3d using 2d diffusion,”
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall, · 2022
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.
Yue Ma, Yingqing He, Xiaodong Cun, Xintao Wang, Ying Shan, Xiu Li, and Qifeng Chen, · 2023
Later among the works it cites.
“Let 2d diffusion model know 3d-consistency for robust text-to-3d generation,”
Junyoung Seo, Wooseok Jang, Min-Seop Kwak, Jaehoon Ko, Hyeonsu Kim, Junho Kim, Jin-Hwa Kim, Jiyoung Lee, and Seungryong Kim, · 2023
Later among the works it cites.