| Title | Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion |
|---|---|
| Author | Tengfei Wang1† Bo Zhang2 Ting Zhang2 Shuyang Gu2 Jianmin Bao2 |
| Conf/Jour | arXiv preprint |
| Year | 2022 |
| Project | RODIN Diffusion (microsoft.com) |
| Paper | Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion (readpaper.com) |
| Title | TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering |
|---|---|
| Author | Xiao Pan1,2,∗, Zongxin Yang1, Jianxin Ma2, Chang Zhou2, Yi Yang1,† |
| Conf/Jour | ICCV |
| Year | 2023 |
| Project | TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering (pansanity666.github.io) |
| Paper | TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering (readpaper.com) |
PointCloud
Follow
| Paper | Model | Input | Parameter/Pnum | GPU |
|---|---|---|---|---|
| DiT-3D | Diffusion Transformers | Voxelized PC | ||
| PointFlow | AE flow-based | PointCloud | 1.61M | |
| FlowGAN | GAN flow-based | Single Image | N = 2500 | A40 45GB |
| BuilDiff | Diffusion models | Single Image | 1024 to 4096 | A40 45GB |
| CCD-3DR | CDPM | Single Image | 8192 | 3090Ti 24GB |
| SG-GAN | SG-GAN | Single Image | ||
| HaP | Diffusion+SMPL+DepthEstimation | Single Image | 10000 | 4x3090Ti |
| Title | BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models |
|---|---|
| Author | Wei, Yao and Vosselman, George and Yang, Michael Ying |
| Conf/Jour | ICCV |
| Year | 2023 |
| Project | weiyao1996/BuilDiff: BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models (github.com) |
| Paper | BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models (readpaper.com) |
| Title | SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image |
|---|---|
| Author | Bowen Hu, Baiying Lei, Shuqiang Wang, Senior Member, IEEE |
| Conf/Jour | arXiv |
| Year | 2023 |
| Project | |
| Paper | SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image (readpaper.com) |
Stereoscopic-aware graph generative adversarial network (SG-GAN)
| Title | Flow-based GAN for 3D Point Cloud Generation from a Single Image |
|---|---|
| Author | Yao Wei (University of Twente), George Vosselman (“University of Twente, the Netherlands”), Michael Ying Yang (University of Twente)* |
| Conf/Jour | BMVA |
| Year | 2022 |
| Project | Flow-based GAN for 3D Point Cloud Generation from a Single Image (mpg.de) |
| Paper | Flow-based GAN for 3D Point Cloud Generation from a Single Image (readpaper.com) |
| Title | DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation |
|---|---|
| Author | Shentong Mo 1, Enze Xie 2, Ruihang Chu 3, Lewei Yao 2,Lanqing Hong2, Matthias Nießner4, Zhenguo Li2 |
| Conf/Jour | arXiv |
| Year | 2023 |
| Project | DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation |
| Paper | DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation (readpaper.com) |
New 3D Diffusion Transformer Model, 在体素化的点云上运行 DDPM(Denoising diffusion probabilistic models) 的去噪过程
| Title | Challenging universal representation of deep models for 3D point cloud registration |
|---|---|
| Author | Bojani\’{c}, David and Bartol, Kristijan and Forest, Josep and Gumhold, Stefan and Petkovi\’{c}, Tomislav and Pribani\’{c}, Tomislav |
| Conf/Jour | BMVC |
| Year | 2022 |
| Project | DavidBoja/greedy-grid-search: [BMVC 2022 workshop] Greedy Grid Search: A 3D Registration Baseline (github.com) |
| Paper | Challenging the Universal Representation of Deep Models for 3D Point Cloud Registration (readpaper.com) |
按步长穷举法，粗配准，需要根据ICP进行精配准
| Title | Geometric Transformer for Fast and Robust Point Cloud Registration |
|---|---|
| Author | Zheng Qin1 Hao Yu2 Changjian Wang1 Yulan Guo1,3 Yuxing Peng1 Kai Xu1* |
| Conf/Jour | CVPR |
| Year | 2022 |
| Project | qinzheng93/GeoTransformer: [CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration (github.com) |
| Paper | Geometric Transformer for Fast and Robust Point Cloud Registration (readpaper.com) |
pairwise registration models, only Ubuntu