Xyl-6 / timm Public forked from huggingface/pytorch-image-models Notifications Fork 0 Star 0 PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, Conv...
Pre-trained models are available at various scales and hosted at the awesome huggingface_hub. By default the models were pretrained on DIV2K, a dataset of 800 high-quality (2K resolution) images for training, augmented to 4000 images and uses a dev set of 100 validation images (images ...
resolution = 480 patch_resize_transform = transforms.Compose([ lambda image: image.convert("RGB"), transforms.Resize((resolution, resolution), interpolation=Image.BICUBIC), transforms.ToTensor(), transforms.Normalize(mean=mean, std=std) ]) ckpt_dir="OFA-Sys/ofa-large-caption" tokenizer = OFATo...
Discover the top 6 open source AI image generators. Find out how models can bring realistic visuals to your projects.
本文复现论文 “Zero-Shot” Super-Resolution using Deep Internal Learning[1] 提出的图像超分辨率方法。 8310 中国1km分辨率SSP119情景(SSP119、SSP245 SSP585),模式逐月降水量数据集(2021-2100) 模型数据数据处理imagevar 此星光明17天前 中国1km分辨率SSP119情景EC-Earth3模式逐月降水量数据集(2021-2100) ...
[username]/textual_inversion/weights" \ --instance_prompt="A woman with a normal BMI value" \ --resolution=512 \ --train_batch_size=1 \ --gradient_accumulation_steps=1 \ --checkpointing_steps=100 \ --learning_rate=1e-4 \ --report_to="tensorboard" \ --lr_scheduler="constant" \ ...
Super-Res. Make my photo bigger and better Add details to this image Increase the resolution of this photo Low-light The photo is too dark, improve exposure Increase the illumination in this shot My shot has very low dynamic range Enhancement Make it pop! Adjust the color balance for a nat...
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data [Paper] [Project Page] [Demo] Xintao Wang, Liangbin Xie,Chao Dong,Ying Shan Applied Research Center (ARC), Tencent PCG Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences ...
We train on an input resolution of 2562 (crops from 3842) but find that our model general- izes to larger resolutions and can generate images up to the megapixel regime when evaluated in a convolutional man- ner (see Fig. 8). We exploit this behavior to also ...
Followed by a super-resolution diffusion model to upsample the image to 256×256 resolution. And one final super-resolution model, which upsamples the image to 1024×1024 resolution.Currently, Google’s Imagen is unavailable to the general public and is accessible through invitation only.A...