AI tools for Generative Models

AI Song Maker is an advanced music creation platform powered by artificial intelligence, designed to enable users to generate high-quality songs effortlessly. The platform provi

Canvora is presented as the smartest visual assistant designed to instantly transform content into a vast array of over 70 different visual formats. Whether you have existing ma

Artlist.io is an all-in-one subscription platform catering primarily to video creators, filmmakers, and social media content producers who require high-quality digital assets un

In today's digital landscape, short-form video dominates social media, and consistent posting is crucial for success. Overlap is designed to address this challenge by completely

Higgsfield AI is a creative platform for generating and editing images, video, and voice content from prompts or references. It combines hosted generative models, media-editing

DMAD is an adversarial distillation framework for reducing the sampling steps of visual generators. Two discriminator heads on a shared backbone classify teacher, student, and r

OpenWAM is a modular research stack for studying how video world models can learn executable robot control. It separates infrastructure, controlled design experiments, and the r

Open-Dreamer is an open project from Next State about training a frontier-level world model. It provides a practical account of model design, training lessons, failures, fixes,

Masked Visual Actions is a unified world modeling project for robot video control using masked visual action representations. It frames action as a visual signal that can suppor

Motion4Motion is a training-free motion transfer framework for animating a target subject with motion extracted from a source video. Instead of relying on a shared skeleton, it

GNM, the Generative aNthropometric Model and Ecosystem from Google, is an open ecosystem for parametric human models and related perception stacks. The repository starts with GN

LOGOS, Language of Generative Objects in Science, is a multi-domain scientific generative framework built on a unified scientific grammar. It encodes proteins, antibodies, small

Warp-as-History is a camera-controlled video generation method that turns camera-induced warps into a control interface for pretrained video models. It enables viewpoint manipul

AsymFlow is an asymmetric flow modeling method for scalable high-dimensional pixel generation. It is designed to make pixel-space generative models more competitive by changing

Pixal3D is an image-to-3D generation framework built to create high-fidelity 3D assets that remain pixel-aligned with the input image. It addresses a common failure in image-con

VGGRPO is a research project focused on improving geometry-aware visual generation or reconstruction through an optimization framework. It is designed for tasks where a model mu

Lyra 2 is an NVIDIA research system for explorable generative 3D worlds. It is designed to create camera-controlled walkthrough videos and lift them into 3D through feed-forward

Muse Spark is a Meta AI research release focused on AI-assisted music and sound generation. It is designed to help creators and researchers explore how generative models can pro

Waypoint 1.5 is a real-time AI world model from Overworld designed to bring interactive generated worlds to everyday GPUs. It focuses on making world simulation more accessible

SpatialEdit is an open-source benchmark and research resource for fine-grained image spatial editing. It is designed to test whether image-editing models can follow precise spat

TokenDial is a research project focused on token-level control, analysis, or adjustment in generative language models. It is designed for users who need a more direct handle on

Alaya Renderer is a generative world renderer that provides a scaling recipe for video generative rendering. It is designed around large-scale G-buffer data from AAA games, inve

VisionBanana is a unified vision model from Google DeepMind that treats image generation as a general interface for visual understanding tasks. It is designed to show that image

SegviGen is a 3D segmentation system that repurposes generative modeling for part-level understanding. Rather than treating generation and segmentation as separate tasks, it use