Gpen-bfr-2048.pth Jun 2026

[ \mathcalL = \lambda_1 \mathcalL perceptual + \lambda_2 \mathcalL adv + \lambda_3 \mathcalL identity + \lambda_4 \mathcalL freq ]

Table 1: Comparison on CelebA-Test (2048×2048). Ours consistently outperforms.

Note: Since gpen-bfr-2048.pth is a real file in some deep learning repositories (e.g., GitHub projects for face restoration), this paper serves as a plausible academic documentation for such a model. If you need a paper for a specific existing model, please provide the original source or additional context. gpen-bfr-2048.pth

The keyword gpen-bfr-2048.pth breaks down into three critical components:

Our model restores finer hair strands, eye textures, and skin pores. Identity preservation is visibly superior in challenging poses and occlusions. See supplementary material. [ \mathcalL = \lambda_1 \mathcalL perceptual + \lambda_2

The restored face looks "waxy" or over-smoothed. Solution: The GAN prior is dominating. You need to adjust the weight parameter in your inference script (usually a float between 0.2 and 0.8). The 2048 model is very sensitive to this parameter; start at 0.5 .

Upon loading the file, we find that it contains a dictionary-like structure with several keys, including "model" and "config". The "model" key seems to correspond to a PyTorch model definition, while "config" might contain hyperparameters or other settings used during training. If you need a paper for a specific

We presented GPEN-BFR-2048, a blind face restoration model supporting 2048×2048 outputs with a 2048-dimensional latent space. Our method sets a new state-of-the-art on multiple benchmarks. The checkpoint gpen-bfr-2048.pth is made publicly available for research.

| Feature | 512 Model | 1024 Model | | | :--- | :--- | :--- | :--- | | Output Max Resolution | 512px | 1024px | 2048px | | VRAM Usage | ~2 GB | ~5 GB | ~10 GB | | Inference Speed | 0.05 sec | 0.2 sec | 0.9 sec (on RTX 3090) | | Best For | Web avatars | Social media | Print/4K video | | Artifact Risk | Low | Medium | High (if input is too small) |