Google Colab notebook for NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.

High-Resolution Image Synthesis with Latent Diffusion Models

A notebook for text-based guided image generation using StyleGANXL and CLIP.

Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.

CLIP-like model evaluation

Implementation for "Multilevel Language and Vision Integration for Text-to-Clip Retrieval"

A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.

Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.

[CVPR 2022] PointCLIP: Point Cloud Understanding by CLIP

[ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.

Code release for SLIP Self-supervision meets Language-Image Pre-training