VD-Diff trained on Replica
Checkpoints from VD-Diff (Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model, ECCV 2024) trained on the Replica scenes.
Code that produced these checkpoints: https://github.com/1zsw123/pretraineddatasetcode
Files
| File | Stage | Step | Size |
|---|---|---|---|
S1/net_g_200000.pth |
Stage 1 (KPN pre-train) | 200k | 38 MB |
S3/net_g_175000.pth |
Stage 3 (diffusion fine-tune) | 175k | 48 MB |
How to use
from huggingface_hub import hf_hub_download
s1 = hf_hub_download("zhaoshiwen/VD-Diff-Replica", "S1/net_g_200000.pth")
s3 = hf_hub_download("zhaoshiwen/VD-Diff-Replica", "S3/net_g_175000.pth")
Then point pretrain_network_S1 / pretrain_network_S2 in the VD-Diff training YAML at these paths. See the upstream README for the training pipeline.
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