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[TransPixar 논문 리뷰] - Advancing Text-to-Video Generation with Transparency *TransPixar를 위한 논문 리뷰 글입니다! 궁금하신 점은 댓글로 남겨주세요! TransPixar paper: [2501.03006] TransPixar: Advancing Text-to-Video Generation with Transparency  TransPixar: Advancing Text-to-Video Generation with TransparencyText-to-video generative models have made significant strides, enabling diverse applications in entertainment, advertising, and education. However, generating RGBA video, which includes alph..
[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 ..

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