positional (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.. [Instant-stylization-NeRF 논문 리뷰] - Instant Neural Radiance Fields Stylization *Instant Neural Radiance Fields Stylization를 위한 논문 리뷰 글입니다! 궁금하신 점은 댓글로 남겨주세요! Instant Neural Radiance Fields Stylization paper: [2303.16884] Instant Neural Radiance Fields Stylization (arxiv.org) Instant Neural Radiance Fields Stylization We present Instant Neural Radiance Fields Stylization, a novel approach for multi-view image stylization for the 3D scene. Our approach models a neural radian.. [Transformer 논문 리뷰] - Attention is All You Need (2017) *Transformer 논문 리뷰를 위한 글이고, 질문이 있으시다면 언제든지 댓글로 남겨주세요! Transformer paper: https://arxiv.org/abs/1706.03762 Attention Is All You Need The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new arxiv.org .. 이전 1 다음
