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Diffusion models for 2D/3D generation
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Module 2
Advanced Sampling and Inference
1
Ancestral Sampling with Noise Schedules
Implement ancestral sampling with different noise schedules
Faster Sampling with DDIM
Implement DDIM sampling and explain how it enables faster inference
3
Deterministic vs. Stochastic Sampling: A Practical Comparison
Demonstrate the differences between deterministic and stochastic sampling strategies through practical experiments
4
Efficient Sampling with DPM-Solver
Apply DPM-Solver for efficient high-quality sampling
5
Noise Schedule Analysis for Sampling Artifacts
Debug sampling artifacts using noise schedule analysis
Previous module
Diffusion Theory and DDPM Fundamentals
Next module
U-Net Architecture and Conditioning