Google Research

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

High-Resolution Image Synthesis with Latent Diffusion Models

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766

FaceScape (PAMI2023 & CVPR2020)

[ICCV 2023] StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces

An empirical study on evaluation metrics of generative adversarial networks.