- Italy, Bologna
- @loretoparisi
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Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
High-Resolution Image Synthesis with Latent Diffusion Models
GLIDE: a diffusion-based text-conditional image synthesis model
Generate images from texts. In Russian
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
RUDOLPH: One Hyper-Tasking Transformer can be creative as DALL-E and GPT-3 and smart as CLIP
A simple web-server/api over a rclip-style clip embedding database.
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Official Implementation of "Third Time's the Charm? Image and Video Editing with StyleGAN3" (AIM ECCVW 2022) https://arxiv.org/abs/2201.13433
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
[CVPR 2022] Official PyTorch Implementation for "Reference-based Video Super-Resolution Using Multi-Camera Video Triplets"
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022
D2Go is a toolkit for efficient deep learning
OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"