The Best CLIPasso Alternatives in 2026

ImageBind explores a shared embedding space that connects different kinds of data.

Use SmolVLA, a vision-language-action model trained on data from the LeRobot community, for robotics research.

The Stanford Alpaca project presents a replicable instruction-following language model and its research materials.

This research paper presents Word-As-Image, a method for incorporating semantic meaning into typography.

Google Research introduced Imagen as a text-to-image diffusion model in this research paper.

Falcon LLM is described as a generative language model from the Technology Innovation Institute for a range of AI applications.

Muse is a text-to-image model that also supports editing images through its generative transformer approach.

Stanford CoreNLP provides natural language analysis tools that process raw text into linguistic annotations.

This paper presents NExT-Chat, a large multimodal model for chat, detection, and segmentation.

The ERNIE blog announces model releases and shares information about training and evaluation results.

The Stanford AI Index gathers data about artificial intelligence for researchers, policymakers, journalists, and the public.

Bittensor is an open machine intelligence network where subnets produce digital commodities such as compute and inference, with contributors earning TAO.

This timeline documents developments in AI image and video generation models.

Point·E is a research project that generates 3D point clouds using diffusion models.

This repository accompanies research on improving language model factuality and reasoning through multi-agent debate.

The learn2learn library supports meta learning experiments and research with PyTorch.

The DeepSeek-R1 repository links to its reasoning research paper and provides related model materials.

This repository contains Google Research code for the Flan-T5 language model project.

The S4 repository presents structured state space sequence models for sequence modeling research.

MobiLlama is a small language model designed for edge devices, according to its repository description.

Janus combines multimodal understanding and image generation models in a unified model series.

Repository accompanying the paper Generative Agents: Interactive Simulacra of Human Behavior, containing the core simulation module for agents that simulate believable human behaviors and their game environment.

CodeGen provides open-source models for program synthesis and code generation.

Qwen3-Omni understands text, audio, images, and video, and can generate speech in real time.