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Diffusion models for 2D/3D generation
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Module 7
Video and Animation Generation
1
Video Diffusion with Temporal Convolutional Networks
Implement temporal convolutional layers to extend a 2D diffusion model to video
2
Frame-to-Frame Consistency with Previous Frame Conditioning
Implement a frame-to-frame consistency technique by conditioning on the previous frame
3
Latent Variable Propagation for Frame Consistency
Implement a consistency mechanism based on latent variable propagation between frames
4
Temporal Attention for Video Generation
Apply temporal attention for coherent video generation
5
Video Inpainting: Filling Masked Regions
Implement video inpainting to fill masked regions across frames
6
Instruction-Guided Video Editing
Implement instruction-guided video editing (e.g., style or object changes)
7
Debugging Temporal Artifacts
Debug temporal flickering and inconsistency artifacts
Previous module
Image Editing and Manipulation
Next module
3D Representations and Rendering