AI BriefingLG AI Research 263
Key point
This explores the latest trends in personalized image/language models and NeRF technology through NVIDIA GTC 2022.
Details
This covers the latest AI technology trends discussed at NVIDIA GTC 2022. The main topics are the Personalized Image/Language Model, which more accurately reflects user intent, and NeRF (Neural Radiance Fields) technology.
While existing models such as DALL-E generate generic images based on text input, NVIDIA proposed a personalized model that can reflect a specific subject the user wants (e.g., a specific cat character). To achieve this, an Images-to-Word Mapper is used to map concept images provided by the user into the text embedding space, replacing specific tokens with user-defined image features.
This technology can be applied not only to image generation but also to Text-Image Search. When a user inputs a specific image instead of text, the image is converted into the text embedding space to find the most similar images in the database, thereby improving user convenience.
It also covers technical advances in efficiently reconstructing complex scenes through NeRF (Neural Radiance Fields), a 3D representation technology.
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