Exploring 3D Art and AI: RealFusion, NeRF, and Embedding Techniques

Research and Breakthroughs

Oxford University researchers introduce a diffusion model called RealFusion that can generate 360-degree reconstructions of objects from an image. [https://www.marktechpost.com/2023/02/28/oxford-university-researchers-introduce-a-diffusion-model-called-realfusion-that-can-generate-360-degree-reconstructions-of-objects-from-an-image/?amp]
Breakthrough for nerf

Devanshu Tak is a 3D artist who has used NeRF earlier in his work
Interesting read: https://unsupervisedlearning.substack.com/p/using-large-language-models-effectively. Esp the #4 point around embeddings

Embedding was the biggest reason for using Pinecone and Langchain in the Hasura bot
Pinecone is used as a vector store
Langchain gives a good abstraction
Hasura bot uses openAI embedding
Chroma bundles store and the embedding call into one from what can be told.

The description and link can be mismatched because of extraction errors.

https://www.marktechpost.com/2023/02/28/oxford-university-researchers-introduce-a-diffusion-model-called-realfusion-that-can-generate-360-degree-reconstructions-of-objects-from-an-image/?amp: Oxford University researchers introduce a diffusion model called RealFusion that can generate 360-degree reconstructions of objects from an image. The message in the same link as the URL is not related to the breakthrough.
https://unsupervisedlearning.substack.com/p/using-large-language-models-effectively: An interesting read about using large language models effectively, with a specific focus on the #4 point around embeddings. The message also mentions the use of Pinecone and Langchain in the Hasura bot for embedding purposes.