Upload IRecon MCM inference adapter

README.md

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 ---
 license: creativeml-openrail-m
+library_name: diffusers
+pipeline_tag: image-to-image
+tags:
+  - infrared
+  - image-fusion
+  - adapter
+  - stable-diffusion
+base_model: runwayml/stable-diffusion-inpainting
 ---
+
+# IRecon MCM 128
+
+Inference-only modulation and conditioning module for registered SWIR, MWIR, and LWIR fusion.
+
+## Architecture
+
+- 12 input channels: noisy latent, frozen base noise prediction, three bands, and object mask.
+- 96 hidden channels, six time-conditioned residual blocks.
+- 8 outputs: four noise residual channels and four spatial gates.
+- 1,371,080 trainable parameters.
+- Frozen Stable Diffusion 1.5 inpainting base, 10-step DDIM inference at 128 x 128.
+
+## Training provenance
+
+- Object-disjoint Objaverse simulation.
+- Direct online-noise training from a randomly initialized MCM; no clean pretraining is contained in this checkpoint.
+- Selected checkpoint: cumulative step 145,000, training seed 3409.
+- Validation masked image MAE at selection: 0.1384654571.
+- Loss: diffusion noise MSE + 0.1 image Smooth-L1 + 0.05 first-gradient loss.
+- Online perturbation: band-dependent global noise and local spherical-region noise.
+- Global noise sigma (SWIR/MWIR/LWIR): 0.08 / 0.025 / 0.01.
+- Local spherical-region sigma (SWIR/MWIR/LWIR): 0.20 / 0.10 / 0.05.
+
+The original checkpoint also contained optimizer and scaler state. The released file strips those states and stores only the MCM state dict and non-identifying inference metadata.
+
+## Evaluation boundary
+
+The thesis reports an MAE of 0.21288, PSNR of 13.9054 dB, and SSIM of 0.54345 for one validation-selected checkpoint averaged over four inference perturbation/sampling seeds. Independent training-seed results are reported separately. The model improves simulated intensity restoration over fixed linear fusion but does not yet improve the downstream GSO pose/mesh initializer over noisy SWIR. It has not been calibrated on a real three-band sensor.
+
+## Required base model
+
+Supply a legally obtained Stable Diffusion 1.5 inpainting Diffusers directory. This adapter does not include base-model weights.
+
+## File integrity
+
+SHA256: `573516143fb7a3c59256c449f0d2b34aa56be6945e3c9ba8a0cc307d2cd68739`
+
+Repository: [github.com/ss00sxt/IRecon](https://github.com/ss00sxt/IRecon)

mcm_fusion_128.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:573516143fb7a3c59256c449f0d2b34aa56be6945e3c9ba8a0cc307d2cd68739
+size 5507658

mcm_fusion_128.sha256

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+573516143fb7a3c59256c449f0d2b34aa56be6945e3c9ba8a0cc307d2cd68739  mcm_fusion_128.pt