Sam Motamed's Projects
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Editing a Conditional Radiance Field
Official Implementation of "ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation"
Code for the NeurIPS 2022 paper "Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models"
High-Fidelity Pluralistic Image Completion with Transformers (ICCV 2021)
SAM with text prompt
Official Implementation for "Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures"
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
MAT: Mask-Aware Transformer for Large Hole Image Inpainting
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Code for Photo-Sketching: Inferring Contour Drawings from Images :dog:
webpage
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.
Code for the TCAV ML interpretability project
[ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators