-
### Model/Pipeline/Scheduler description
This work aims to learn a high-quality text-to-video (T2V) generative model by leveraging a pre-trained text-to-image (T2I) model as a basis. It is a highly…
-
May I ask you the running time of one video? I find it cost a lot of time to run one demo, about 3 hours or so in 1 A100. I wonder whether this time cost is a normal case. Or what is your time cost of…
CJ416 updated
4 weeks ago
-
【背景】
• テキストから画像生成の成功により、テキストからビデオ生成の研究が注目されている。
• テキストからビデオ生成は、映画製作やビデオゲーム、芸術的創造などの領域での応用が期待されている。
• 既存のテキストから画像生成モデルを利用するアプローチがある。
【目的】
• 高品質なテキストからビデオ生成モデルを学習すること。
• テキストから画像生成モデルの創造性を保ちながら、リア…
-
Create the components necessary to perform the training and inference of super-resolution task based on diffusion models. As reference, we could use approaches used in Imagen (https://imagen.research.…
-
https://github.com/lucidrains/denoising-diffusion-pytorch/blob/de378158e5e1a3fbe5a45b0da09f8644e3f1c719/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py#L457
Hello,
Do you think it is …
-
https://www.linkedin.com/posts/jung-woo-ha-b2782862_iclr2024-ukqstwubitmmrxgrpwx-activity-7156033485919444992-vwMH
https://blog.rwkv.com/p/eagle-7b-soaring-past-transformers
https://huggingface.co/b…
-
Hi @matteofrigo @rutgerfick
As mentioned before we are cascading a full ICVF map into a multi-tissue MCMDI 3 compartment model. We are inputting the tissue responses which are in the range of the ori…
-
| Paper | Pub Time | Read Time | Where |
| --- | --- | --- | --- |
| [Magvit](https://github.com/TiankaiHang/blog/issues/3#issuecomment-2016508975) | 2023.04.05 | 2024.03.23 | CVPR 2023|
| [Magvit …
-
# 💻 cs
## 📚 mask (total: 9)
### 📃 Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays
- **Authors:** Xinxu Wei, Haohan Bai, Xianshi …
-
Hello, I encountered an issue. When I followed the steps to set up everything and ran main.py, a problem occurred.
(brainvis) cqy@fuying-System-Product-Name:~/myproject/BrainVis$ python main.py
da…