kaist cs479 spring

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Lecture 15: 3D Generation (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
Guest Lecture 3: Seungchan Kim (CS479: Machine Learning for 3D Data, Spring 2026, KAIST)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
Lecture 14: Mesh Deformation (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
Lecture 12: Representation Conversion 1 (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
Lecture 13: Gaussian Splatting (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
Lecture 10: Hybrid Representations (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
Lecture 11: Gaussian Splatting (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
Lecture 9: Neural Rendering (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
Lecture 8: Epipolar Geometry (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
Lecture 7: Camera Models (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes