3d-generation

OpenArt now allows users to transform a single image into a persistent 3D world with precise camera control, powered by the World Labs API.

A new AI model generates a fully rigged 3D character from a single reference image, streamlining 3D content creation.

PhysX-Omni is a unified framework for simulation-ready physical 3D generation covering rigid, deformable, and articulated objects, with a new dataset (PhysXVerse) and benchmark (PhysX-Bench).

Apple has released LiTo, an open-source AI model for 3D generation.

MVCHead is a novel method for generating 3D Gaussian head avatars from single 2D images without multi-view data, using hierarchical state space models and multi-view consistency enforcement.

PhysX-Omni is a unified framework for generating simulation-ready 3D assets across rigid, deformable, and articulated categories, introducing a novel geometry representation for vision-language models, a new dataset (PhysXVerse), and a comprehensive evaluation benchmark (PhysX-Bench).

A developer built a pipeline that uses an LLM as a structured code compiler to generate Blender Python code, producing 3D objects with functional, articulated parts instead of monolithic meshes. The tool is open-source and LLM-agnostic.

DeemosTech introduces Rodin Gen-2.5, claiming it as the world's first 10 million polygon 3D generative AI model, capable of generating 1 million polygons in 4 seconds with adaptive thinking and 3D-native textures.

A novel MLLM-based agentic framework called Code-as-Room generates 3D indoor rooms by converting top-down images into executable Blender code through a structured execution harness with cross-stage memory to maintain context.

The team of Assistant Professor Elliott Wu from the University of Cambridge released Articraft — an agentic coding system that can automatically generate interactive 3D assets with parts, joints, and realistic motion, and open-sourced the Articraft-10K dataset, significantly lowering the asset threshold for robot training and physical AI.

EVA01 is a unified framework that integrates 3D mesh as a native modality into multimodal language models via a Mixture-of-Transformers architecture, enabling state-of-the-art text-to-3D generation and long-context multi-turn geometric editing.

A new AI tool generates 3D objects by generating code, resulting in objects with separate, functional parts rather than monolithic blobs. It is free and open-source on GitHub.

Turn a single image into a fully meshed 3D world in minutes using image-blaster, a tool built by a World Labs team member that combines Marble, Claude skills, and Fal to generate 3DGS environments, meshes, physics objects, and SFX.

Sat3DGen introduces a geometry-first approach for generating street-level 3D scenes from a single satellite image, achieving improved geometric accuracy and photorealism through novel constraints and training strategies. The method demonstrates significant improvements over prior work on the VIGOR-OOD benchmark.

This article introduces 3DCellForge, an open-source React and Three.js-based web application for generating and exploring interactive 3D models. It utilizes AI models like Hunyuan 3D and Tripo via ComfyUI or direct API integration to create visualizations of objects such as aircraft and spacecraft.

Pixal3D introduces a pixel-aligned 3D generation approach that improves fidelity by establishing direct pixel-to-3D correspondences through back-projection conditioning, addressing issues in canonical space generation.

The author describes a workflow using Gemini Nano Pro, Tripo, and Codex to generate 3D biological structures, highlighting AI's potential to accelerate education.

The developer announces the open-sourcing of an image-to-3D model tool that currently integrates with the Tripo3D API, encouraging users to adapt it for other services or local models.

RecGen 1 and 2 are newly released AI models that claim state-of-the-art performance in converting images to 3D models, with potential open-source availability.

The user shares an impressive example of a 3D biological structure page generated using GPT Image 2 and Gemini 3.1 Pro, noting its potential for AI education and expressing intent to replicate it.