
# Rethinking Diffusion Model in High Dimension 



![NaturalDiffusion](degradation_inference_framework_coeff_matrix.png)



### A Unified Diffusion Model Inference Framework - Natural Inference

**Natural Inference** is a straightforward and general inference framework that does not rely on any probability concepts. It unifies most mainstream inference methods, including at least:

- &#x2705; DDPM Ancestral Sampling
- &#x2705; DDIM
- &#x2705; SDE Euler
- &#x2705; ODE Euler
- &#x2705; Heun
- &#x2705; DPMSolver
- &#x2705; DPMSolver++
- &#x2705; DEIS
- &#x2705; Flow Matching Euler

### Reproducing 
- For reproducing the results in Section 3.2 - *Weighted Sum Degradation Phenome*, please refer to src/AnalyzeWeightedSumDegradation.py.
- For reproducing the results in Section C.1 - *Represent DDPM Ancestral Sampling with Natural Inference Framework*, please refer to src/AnalyzeDDPMDDIM.py.
- For reproducing the results in Section C.2 - *Represent DDIM with Natural Inference Framework*, please refer to src/AnalyzeDDPMDDIM.py.
- For reproducing the results in Section C.3 - *Represent Flow Matching Euler Sampling with Natural Inference Framework*, please refer to src/AnalyzeFlowMatching.py.
- For reproducing the results in Section C.4 - *Represent High Order Samplers with Natural Inference Framework*, please refer to src/AnalyzeDEIS.py and src/AnalyzeDPMSolver.py.



### Validate Consistency

- To Validating the consistency between the results of the original algorithm and Natural Inference, please refer to ValidateNaturalInference.py.

### Visualize Coefficient Matrix

- To visualizing coefficient matrixs on Natural Inference, please refer to Visualize/VisualizeCoeffMatrix.html. VisualizeCoeffMatrix.html is a standalone web application that can run offline in a browser.

[![Visualze coefficient matrix](visualize/VisualizeCoeffMatrix.jpg)]()

