Extend p_obj sampling to natural images by drawing samples from a pretrained diffusion model. This is separate from using diffusion as a prior — here the diffusion model generates the ground-truth x_true.
Acceptance Criteria
• Add function sample_diffusion_images(batch_size, size)
• Uses DDPMPipeline or similar
• Integrate into testbench via obj_type="diffusion"
• Ensure it bypasses PNGs and samples dynamically
Extend p_obj sampling to natural images by drawing samples from a pretrained diffusion model. This is separate from using diffusion as a prior — here the diffusion model generates the ground-truth x_true.
Acceptance Criteria
• Add function sample_diffusion_images(batch_size, size)
• Uses DDPMPipeline or similar
• Integrate into testbench via obj_type="diffusion"
• Ensure it bypasses PNGs and samples dynamically