metadata
sdk: streamlit
app_file: app.py
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis Implementation
the Pytorch, JAX/Flax based code imlementation of this paper : https://arxiv.org/abs/2104.00677 The model gives the 3D neural scene representation (NeRF: Neural Radiances Field) estimated from a few images. Which is based on extracting the semantic information using a pre-trained visual encoder such as CLIP, a Vision Transformer
Our Project is started in the HuggingFace X GoogleAI (JAX) Community Week Event. https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104
Hugging Face Hub Repo URL:
We will also upload our project on the Hugging Face Hub Repository. https://huggingface.co/flax-community/putting-nerf-on-a-diet/
Our Teams
| Teams | Members |
|---|---|
| NeRF Team | Leader : JaeYoung Chung, Members : Stella Yang, Alex Lau, Haswanth Aekula, Hyunkyu Kim |
| CLIP Team | Leader : Sunghyun Kim, Members : Seunghyun Lee, Sasikanth Kotti, Khali Sifullah |
| Cloud TPU Team | Leader : Alex Lau, Members : JaeYoung Chung, Sunghyun Kim, Aswin Pyakurel |
| Project Managing | Stella Yang To Watch Our Project Progress, Please Check Our Project Notion |