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VD-Diff-Replica
zhaoshiwen/VD-Diff-Replica
VD-Diff-Replica is a machine learning model from zhaoshiwen. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Checkpoints from VD-Diff (Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model, ECCV 2024) trained on the Replica scenes.
Access
Public
Updated May 16, 2026
Repo size
88.7 MB
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0
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Repo makeup
Click a slice to open those files.
.pth88.7 MB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- May 16, 2026
- Updated
- May 16, 2026
- SHA
- 5991dbef
Model card
From the Hugging Face model README
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.
- License
- mit
- Created
- May 16, 2026
- Updated
- May 16, 2026