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[논문리뷰] CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models 2024년 12월 02일 CAT4D 논문 리뷰 Tags: 3D Vision, Diffusion, Gaussian Splatting, Google, Novel View Synthesis
[논문리뷰] CAT3D: Create Anything in 3D with Multi-View Diffusion Models 2024년 11월 30일 CAT3D 논문 리뷰 (NeurIPS 2024 Oral) Tags: 3D Vision, Diffusion, Google, NeurIPS, Novel View Synthesis
[논문리뷰] TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters 2024년 11월 28일 TokenFormer 논문 리뷰 (ICLR 2025 Spotlight) Tags: Google, ICLR, NLP, Transformer
[논문리뷰] SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory 2024년 11월 26일 SAMURAI 논문 리뷰 Tags: Computer Vision, Video Object Segmentation, Visual Object Tracking