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A latent text-to-image diffusion model
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
Taming Transformers for High-Resolution Image Synthesis
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
High Quality Monocular Depth Estimation via Transfer Learning
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766
Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
(ECCV 2020) RANSAC-Flow: generic two-stage image alignment
computational zoom from raw sensor data
AI Image SIgnal Processing and Computational Photography - Bokeh Rendering , Reversed ISP Challenge, Model-Based Image Signal Processors via Learnable Dictionaries. Official repo for NTIRE and AIM …
Projecting images to latent space with StyleGAN2.
[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
[CVPR 2024 Highlight] Logit Standardization in Knowledge Distillation
Python code for the fast bilateral solver
Transformers and related deep network architectures are summarized and implemented here.
Pytorch implementation of a StyleGAN encoder. Images to latent space representation.
Colour checker detection with Python
A general purpose DCGAN that generates 256 x 256 RGB images. Tested with the 11K hands Dataset