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

Solve puzzles. Learn CUDA.

Reference PyTorch implementation and models for DINOv3

A unified framework for 3D content generation.

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

🎵 Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/

Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset

Official Repository of ChatCaptioner

Learning to ground explanations of affect for visual art.

Gaussian Shell Maps for Efficient 3D Human Generation (CVPR 2024)

Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.

Some of the scripts I use for scribepod @ https://scribepod.substack.com/, an automated AI podcast

Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

Local text-driven editing of 3D shapes with Cascaded Score Distillation

Render COLMAP reconstructed Model with Pytorch3D

Official repository for the paper: "End-to-End Visual Editing with a Generatively Pre-Trained Artist"