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dinac3 results viewer

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  1. .gitattributes +227 -0
  2. README.md +21 -0
  3. _results_appendix.md +70 -0
  4. benchmark.json +460 -0
  5. images/delta/exports_dico_diffae_hf_VAE_accuracy_test_image_png_dinac3_96.png +3 -0
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README.md ADDED
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1
+ ---
2
+ title: dinac3 results
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+ colorFrom: blue
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+ colorTo: gray
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+ sdk: static
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+ pinned: false
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+ license: apache-2.0
8
+ ---
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+
10
+ # dinac3 results
11
+
12
+ Static reconstruction viewer for `data-archetype/dinac3_96`.
13
+
14
+ This Space contains the 39-image comparison set used by the dinac3 model card:
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+
16
+ - original image vs dinac3_96 reconstruction
17
+ - RGB difference view
18
+ - latent PCA view
19
+ - per-image PSNR table and mean/median/min/max summary in `index.html` and `_results_appendix.md`
20
+
21
+ Model: https://huggingface.co/data-archetype/dinac3_96
_results_appendix.md ADDED
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1
+ ## Results
2
+
3
+ Reconstruction quality evaluated on the fixed 39-image comparison set.
4
+
5
+ ### Interactive Viewer
6
+
7
+ **[Open full-resolution comparison viewer](https://huggingface.co/spaces/data-archetype/dinac3-results)** -- side-by-side reconstructions, RGB deltas, and latent PCA with adjustable image size.
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+
9
+ ### Inference Settings
10
+
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+ | Setting | Value |
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+ |---|---|
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+ | Decode | one deterministic pass (no sampler, no seed) |
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+ | Precision | bfloat16 (stored weights, BF16 autocast); FP32 latents/output |
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+ | Compile | torch.compile encoder and decoder (package default) |
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+ | Input | FP32 RGB in [-1, 1], center-cropped to multiples of 16 |
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+ | PSNR | reconstruction clamped to [-1, 1] vs FP32 input, peak-to-peak 2 |
18
+
19
+ ### Global Metrics
20
+
21
+ | Metric | dinac3_96 |
22
+ |---|---|
23
+ | Mean PSNR (dB) | 32.05 |
24
+ | Median PSNR (dB) | 30.82 |
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+ | Min PSNR (dB) | 22.57 |
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+ | Max PSNR (dB) | 44.31 |
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+
28
+ ### Per-Image PSNR (dB)
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+
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+ | Image | dinac3_96 |
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+ |---|---|
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+ | p640x1536:94623 | 27.81 |
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+ | p640x1536:94624 | 30.29 |
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+ | p640x1536:94625 | 39.08 |
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+ | p640x1536:94626 | 38.02 |
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+ | p640x1536:94627 | 38.59 |
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+ | p640x1536:94628 | 40.46 |
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+ | p960x1024:216264 | 39.60 |
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+ | p960x1024:216265 | 35.18 |
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+ | p960x1024:216266 | 44.31 |
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+ | p960x1024:216267 | 35.94 |
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+ | p960x1024:216268 | 25.71 |
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+ | p960x1024:216269 | 38.52 |
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+ | p960x1024:216270 | 33.49 |
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+ | p960x1024:216271 | 37.64 |
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+ | p704x1472:94699 | 27.26 |
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+ | p704x1472:94700 | 25.09 |
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+ | p704x1472:94701 | 37.33 |
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+ | p704x1472:94702 | 30.36 |
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+ | p704x1472:94703 | 31.44 |
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+ | p704x1472:94704 | 28.55 |
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+ | p704x1472:94705 | 40.42 |
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+ | p704x1472:94706 | 39.18 |
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+ | r256_p1344x704:15577 | 26.13 |
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+ | r256_p1344x704:15578 | 25.84 |
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+ | r256_p1344x704:15579 | 27.43 |
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+ | r256_p1344x704:15580 | 32.11 |
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+ | r256_p1344x704:15581 | 30.06 |
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+ | r256_p1344x704:15582 | 26.71 |
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+ | r256_p1344x704:15583 | 29.72 |
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+ | r256_p1344x704:15584 | 26.24 |
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+ | r256_p896x1152:144131 | 28.38 |
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+ | r256_p896x1152:144132 | 30.90 |
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+ | r256_p896x1152:144133 | 33.89 |
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+ | r256_p896x1152:144134 | 29.84 |
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+ | r256_p896x1152:144135 | 25.10 |
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+ | r256_p896x1152:144136 | 30.82 |
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+ | r256_p896x1152:144137 | 28.14 |
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+ | r256_p896x1152:144138 | 22.57 |
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+ | exports/dico_diffae_hf/VAE_accuracy_test_image.png | 31.83 |
benchmark.json ADDED
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+ {
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