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Browse files- README.md +72 -0
- after_generator_side/gigatok/gigatok-B_256-fdpt.pt +3 -0
- after_generator_side/imf/imf-B_256-fdsim.pt +3 -0
- after_generator_side/imf/imf-L_256-fdsim.pt +3 -0
- after_generator_side/imf/imf-XL_256-fdsim.pt +3 -0
- after_generator_side/llamagen/llamagen-B_256-fdpt.pt +3 -0
- after_generator_side/llamagen/llamagen-L_256-fdpt.pt +3 -0
- after_generator_side/titok/titok-B64-fdpt.pt +3 -0
- after_generator_side/titok/titok-L32-fdpt.pt +3 -0
- after_generator_side/var/var-d16_256-fdpt.pt +3 -0
- after_generator_side/var/var-d20_256-fdpt.pt +3 -0
- after_generator_side/var/var-d24_256-fdpt.pt +3 -0
- before_generator_side/gigatok/gigatok-B_256.pt +3 -0
- before_generator_side/imf/imf-B_256.pt +3 -0
- before_generator_side/imf/imf-L_256.pt +3 -0
- before_generator_side/imf/imf-XL_256.pt +3 -0
- before_generator_side/llamagen/llamagen-B_256.pt +3 -0
- before_generator_side/llamagen/llamagen-L_256.pt +3 -0
- before_generator_side/titok/titok-B64.pt +3 -0
- before_generator_side/titok/titok-L32.pt +3 -0
- before_generator_side/var/var-d16_256.pt +3 -0
- before_generator_side/var/var-d20_256.pt +3 -0
- before_generator_side/var/var-d24_256.pt +3 -0
- reference_stats/reconstruction/fid_stats/rec_convnext_in256_t224_stats.npz +3 -0
- reference_stats/reconstruction/fid_stats/rec_inception_stats.npz +3 -0
- reference_stats/reconstruction/fid_stats/rec_vit_large_patch14_clip_224_openai_in256_t256_stats.npz +3 -0
- reference_stats/reconstruction/fid_stats/rec_vit_large_patch14_dinov2_lvd142m_in256_t256_stats.npz +3 -0
- reference_stats/reconstruction/fid_stats/rec_vit_large_patch16_224_mae_in256_t224_stats.npz +3 -0
- reference_stats/reconstruction/fid_stats/rec_vit_so400m_patch16_siglip_256_v2_webli_in256_t224_stats.npz +3 -0
README.md
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# Frechet-Distributional-Decoder-Alignment
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Decoder weights of FDDA. FDDA post-trains the tokenizer decoder of a frozen latent generative model
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with a Fréchet distance loss on generated samples. Code, installation and evaluation:
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[github.com/sunset-clouds/Frechet-Distributional-Decoder-Alignment](https://github.com/sunset-clouds/Frechet-Distributional-Decoder-Alignment).
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Each checkpoint stores the tokenizer state dict with the adapted decoder (`{"model", "epoch"}`) and
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is used with the generator in `--generator_name`. ImageNet 256x256, 50,000 generated samples.
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gFD<sub>r6</sub> is the mean over six representation spaces (Inception-v3, ConvNeXt-v2, DINOv2, MAE,
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SigLIP2, CLIP) of FD divided by the FD of the ImageNet validation set.
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## Before generator-side FD post-training
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`before_generator_side/<family>/`: decoders adapted to the pretrained generators.
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Model | `--generator_name` | gFID | IS | gFD<sub>r6</sub> | checkpoint
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--- | --- |:---:|:---:|:---:| ---
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LlamaGen-B | `llamagen-B_256` | 2.74 | 209.3 | 10.88 | [`llamagen-B_256.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/before_generator_side/llamagen/llamagen-B_256.pt)
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LlamaGen-L | `llamagen-L_256` | 1.87 | 303.5 | 5.60 | [`llamagen-L_256.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/before_generator_side/llamagen/llamagen-L_256.pt)
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GigaTok-S-S | `gigatok-B_256` | 1.68 | 281.6 | 6.59 | [`gigatok-B_256.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/before_generator_side/gigatok/gigatok-B_256.pt)
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TiTok-L-32 | `titok-L32` | 1.34 | 202.6 | 6.19 | [`titok-L32.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/before_generator_side/titok/titok-L32.pt)
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TiTok-B-64 | `titok-B64` | 1.61 | 214.9 | 6.99 | [`titok-B64.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/before_generator_side/titok/titok-B64.pt)
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VAR-d16 | `var-d16_256` | 1.62 | 280.1 | 7.03 | [`var-d16_256.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/before_generator_side/var/var-d16_256.pt)
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VAR-d20 | `var-d20_256` | 1.32 | 296.9 | 5.34 | [`var-d20_256.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/before_generator_side/var/var-d20_256.pt)
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VAR-d24 | `var-d24_256` | 1.24 | 304.4 | 4.26 | [`var-d24_256.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/before_generator_side/var/var-d24_256.pt)
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iMF-B | `imf-B_256` | 1.65 | 268.1 | 8.54 | [`imf-B_256.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/before_generator_side/imf/imf-B_256.pt)
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iMF-L | `imf-L_256` | 1.26 | 281.0 | 5.48 | [`imf-L_256.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/before_generator_side/imf/imf-L_256.pt)
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iMF-XL | `imf-XL_256` | 1.14 | 288.3 | 5.03 | [`imf-XL_256.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/before_generator_side/imf/imf-XL_256.pt)
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## After generator-side FD post-training
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`after_generator_side/<family>/`: decoders adapted to the FD post-trained generators (FDAR for
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LlamaGen, GigaTok, TiTok and VAR; FD-SIM for iMF).
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Model | `--generator_name` | gFID | IS | gFD<sub>r6</sub> | checkpoint
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--- | --- |:---:|:---:|:---:| ---
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LlamaGen-B | `llamagen-B_256-fdpt` | 2.23 | 275.9 | 5.27 | [`llamagen-B_256-fdpt.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/after_generator_side/llamagen/llamagen-B_256-fdpt.pt)
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LlamaGen-L | `llamagen-L_256-fdpt` | 1.34 | 313.5 | 3.18 | [`llamagen-L_256-fdpt.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/after_generator_side/llamagen/llamagen-L_256-fdpt.pt)
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GigaTok-S-S | `gigatok-B_256-fdpt` | 1.74 | 296.5 | 3.84 | [`gigatok-B_256-fdpt.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/after_generator_side/gigatok/gigatok-B_256-fdpt.pt)
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TiTok-L-32 | `titok-L32-fdpt` | 1.35 | 215.1 | 5.49 | [`titok-L32-fdpt.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/after_generator_side/titok/titok-L32-fdpt.pt)
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TiTok-B-64 | `titok-B64-fdpt` | 1.42 | 240.3 | 5.42 | [`titok-B64-fdpt.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/after_generator_side/titok/titok-B64-fdpt.pt)
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VAR-d16 | `var-d16_256-fdpt` | 1.35 | 307.3 | 2.62 | [`var-d16_256-fdpt.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/after_generator_side/var/var-d16_256-fdpt.pt)
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VAR-d20 | `var-d20_256-fdpt` | 1.08 | 308.1 | 1.98 | [`var-d20_256-fdpt.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/after_generator_side/var/var-d20_256-fdpt.pt)
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VAR-d24 | `var-d24_256-fdpt` | 1.09 | 308.3 | 1.67 | [`var-d24_256-fdpt.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/after_generator_side/var/var-d24_256-fdpt.pt)
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iMF-B | `imf-B_256-fdsim` | 0.91 | 304.0 | 4.54 | [`imf-B_256-fdsim.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/after_generator_side/imf/imf-B_256-fdsim.pt)
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iMF-L | `imf-L_256-fdsim` | 0.80 | 299.1 | 2.43 | [`imf-L_256-fdsim.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/after_generator_side/imf/imf-L_256-fdsim.pt)
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iMF-XL | `imf-XL_256-fdsim` | 0.78 | 303.7 | 2.21 | [`imf-XL_256-fdsim.pt`](https://huggingface.co/jiajunzhu/Frechet-Distributional-Decoder-Alignment/blob/main/after_generator_side/imf/imf-XL_256-fdsim.pt)
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## Reference statistics
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`reference_stats/reconstruction/fid_stats/`: ImageNet-validation statistics used by the
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reconstruction metrics.
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## Download
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From the root of the code repository, all decoders and the reference statistics:
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```bash
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bash scripts/download_assets.sh fdda
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```
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A single decoder:
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```bash
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hf download jiajunzhu/Frechet-Distributional-Decoder-Alignment \
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after_generator_side/llamagen/llamagen-B_256-fdpt.pt --local-dir checkpoints/fdda
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```
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## BibTeX
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```bibtex
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```
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