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## Beschreibung des Problems:
In dem unten beschrieben Fall wird im Edit Element Dialog statt dem eigentlichen 3D-Modell "l_random" bzw. das Symbol hierfür angezeigt.
## Schritte zum Reproduzieren:
-…
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Thanks for sharing this amazing work.
I have a 3D MRI dataset and I am looking forward to apply deep learning techniques. I was wondering if Universeg would work for 3D input.
Thanks.
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Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space
Jinghuan Shang, Srijan Das, Michael S. Ryoo
Pre-print. 20 pages
https://arxiv.org/abs/2206.11895
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# 0. 論文情報・リンク
論文リンク:https://arxiv.org/abs/1804.03830
公開日時:Submitted on 11 Apr 2018
実装コード:
Publication : Proc. SPIE 10578, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, …
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# [논문 리뷰] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation - Lee-Jaewon’s Blog
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 리뷰
[https://le…
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Hi! Just found this project in my GitHub feed and tried it out.
It seems great, but the "who cited Paper X?" is rather simple information to get through a manual search as well (e.g. on Google Scho…
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### 0. To Do
1. 数学公式的输入和理解 ➡️ 论文数学表达式的基本理解
2. 代码没有跑过 ➡️ Pytorch的入门
3. 在网页上编辑还是太难了 转到本地VScode会不会快捷键缩进之类好一些? ➡️ 及时渲染的插件
### 1. Pick up
1. **`open-vocabulary detection`** ➡️ The goal of …
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- https://arxiv.org/abs/2103.15627
- 2021
微分可能なレンダリングの最近の進歩により、画像コレクションからテクスチャ付き3Dメッシュの生成モデルを学習することへの関心が高まっている。
これらのモデルは,ポーズとアピアランスを分離し,コンピュータグラフィックスへの応用を可能にするとともに,画像形成の概念を理解する生成モデルの能力を向上させます.
こ…
e4exp updated
3 years ago
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First of all, thank you for the brilliant project! I learned a lot from foxtrot!
I just learned almost everything by learning "how foxtrot did it". Here're some thoughts because I just finished lear…
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## 🚀 Feature
As available for screenshots in the context menu (e.g. `File --> Save Screenshot...`), the new `viewer.export_figure()` functionality should be exposed to the public.
## Motivation…