embedding (3) 썸네일형 리스트형 [LRM 논문 리뷰] - LARGE RECONSTRUCTION MODEL FOR SINGLE IMAGE TO 3D *LRM를 위한 논문 리뷰 글입니다! 궁금하신 점은 댓글로 남겨주세요! LRM paper: https://arxiv.org/abs/2311.04400 LRM: Large Reconstruction Model for Single Image to 3DWe propose the first Large Reconstruction Model (LRM) that predicts the 3D model of an object from a single input image within just 5 seconds. In contrast to many previous methods that are trained on small-scale datasets such as ShapeNet in a category-specarxi.. [Kosy🍵llama] - Noisy embedding 방식을 활용한 llama2 fine-tuning Github: https://github.com/Marker-Inc-Korea/KoNEFTune GitHub - Marker-Inc-Korea/KoNEFTune: Random Noisy Embeddings with fine-tuning 방법론을 한국어 LLM에 간단히 적용할 Random Noisy Embeddings with fine-tuning 방법론을 한국어 LLM에 간단히 적용할 수 있는 Kosy🍵llama - GitHub - Marker-Inc-Korea/KoNEFTune: Random Noisy Embeddings with fine-tuning 방법론을 한국어 LLM에 간단히 적용할 수 있는 github.com Huggingface: https://huggingface.co/kyujinpy/Ko.. [CLIP 논문 리뷰] - Learning Transferable Visual Models From Natural Language Supervision *CLIP 논문 리뷰를 위한 글입니다. 질문이 있다면 댓글로 남겨주시길 바랍니다! CLIP paper: [2103.00020] Learning Transferable Visual Models From Natural Language Supervision (arxiv.org) Learning Transferable Visual Models From Natural Language Supervision State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories. This restricted form of supervision limits their generality and.. 이전 1 다음
