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README.md

@@ -32,8 +32,9 @@ Every weight in this repo is a verbatim copy of the file released by its origina
 
 ### Denoise / Deblur (NAFNet)
 
-- `NAFNet-SIDD-width64.pth` — denoise model
-- `NAFNet-REDS-width64.pth` — deblur model
+- `NAFNet-SIDD-width64.pth` — denoise model (SIDD dataset)
+- `NAFNet-REDS-width64.pth` — deblur model (REDS dataset)
+- `NAFNet-GoPro-width64.pth` — deblur model (GoPro dataset, alternative to REDS)
 
 **Authors:** Liangyu Chen, Xiaojie Chu, Xiangyu Zhang, Jian Sun (Megvii Research)
 **Upstream:** https://github.com/megvii-research/NAFNet
@@ -49,13 +50,30 @@ Every weight in this repo is a verbatim copy of the file released by its origina
 **License:** MIT (code) / non-commercial (weights, per author note)
 **Paper:** "Real-Time Intermediate Flow Estimation for Video Frame Interpolation"
 
-### Community Upscale Models
+### Community RRDBNet Upscale Models
 
+**4x variants:**
 - `4x-UltraSharp.pth` — community upscale model by Kim2091
 - `foolhardy_Remacri.pth` — community model by foolhardy
 - `RealisticRescaler_100000_G.pth` — community upscale model
-- `4x-UniScale-Balanced [72000g].pth` — UniScale community variant
-- `4x-UniScale-Strong [42400g].pth` — UniScale community variant
+- `4x-UniScale-Balanced-72000g.pth` — UniScale community variant
+- `4x-UniScale-Strong-42400g.pth` — UniScale community variant
+- `4xJaypeg90.pth` — JPEG-focused 4x cleanup upscaler
+- `4xLSDIRplus.pth` — LSDIR dataset upscaler
+- `4xLSDIRplusR.pth` — LSDIR refined variant
+- `CountryRoads_377000_G.pth` — general-purpose community upscaler
+- `NMKD-Superscale-SP_178000_G.pth` — NMKD standard print
+- `NMKDSuperscale_Artisoft_120000_G.pth` — NMKD artistic-soft
+- `A_ESRGAN_Single.pth` — A-ESRGAN single-pass
+- `Filmify4K_v2_325000_G.pth` — film-look upscaler
+
+**8x variants:**
+- `8x_NMKD-Superscale_150000_G.pth` — NMKD general 8x
+- `8x_NMKD-Typescale_175k.pth` — NMKD optimised for text/UI
+- `TGHQFace8x_500k.pth` — face-specific 8x
+
+**1x detail enhancers:**
+- `x1_ITF_SkinDiffDetail_Lite_v1.pth` — skin texture enhancement
 
 **Upstream catalog:** https://openmodeldb.info/
 **License:** CC BY-NC-SA 4.0 (community convention for ESRGAN-derived models)
@@ -65,6 +83,24 @@ Architecture is RRDBNet from Real-ESRGAN. Original Real-ESRGAN architecture:
 - **Upstream:** https://github.com/xinntao/Real-ESRGAN
 - **License:** BSD-3-Clause
 
+### Transformer Upscale Models (DAT / HAT-L / DRCT-L)
+
+- `4xFFHQDAT.pth` — DAT architecture, trained on FFHQ
+- `4xFaceUpSharpDAT.pth` — DAT, face sharpener
+- `4xLSDIRDAT.pth` — DAT, LSDIR dataset
+- `4xNomos8kHAT-L_otf.pth` — HAT-L architecture
+- `4xNomos2_hq_drct-l.pth` — DRCT-L architecture
+
+**Upstream catalog:** https://openmodeldb.info/
+**License:** CC BY-NC-SA 4.0 (community convention)
+
+These are mirrored here for download convenience, but Third Eye's engine does not yet implement the DAT, HAT-L, or DRCT-L architectures. They will be wired up in a future engine update.
+
+Original transformer architecture papers:
+- **DAT:** "Dual Aggregation Transformer for Image Super-Resolution" (ICCV 2023)
+- **HAT:** "Activating More Pixels in Image Super-Resolution Transformer" (CVPR 2023)
+- **DRCT:** "DRCT: Saving Image Super-Resolution away from Information Bottleneck"
+
 ## Usage
 
 Download programmatically via the Third Eye installer: