3D Asset Generation: AI for Game Development #3

2D Asset Generation: AI for Game Development #4

Practical 3D Asset Generation: A Step-by-Step Guide

Generating Stories: AI for Game Development #5

A better way to turn 2D designs into 3D models for rapid prototyping

Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.

CoGen3D: An Agentic Human-AI Co-Design Pipeline for 3D Asset Generation for Virtual Reality

arXiv:2607. 03731v1 Announce Type: cross Abstract: Creating 3D assets for virtual reality requires modeling expertise, which restricts the authorship of immersive experiences.

New tool lets users repair AI-generated 3D models, then fabricate them just the way they want

The article introduces "InstructMesh," a new tool that allows users to repair AI-generated 3D models and then fabricate them exactly as desired. It can generate designs for everyday objects that are easy to edit and suitable for both experts and newcomers to 3D modeling.

DreamCharacter-1: From 3D Generative Foundation Models to Product-Ready Character Generation

arXiv:2607. 07817v1 Announce Type: cross Abstract: We present DreamCharacter-1, a lightweight post-adaptation framework that calibrates pretrained 3D foundation models toward high-fidelity, production-ready 3D character generation.

AI for Game Development: Creating a Farming Game in 5 Days. Part 1

AI for Game Development: Creating a Farming Game in 5 Days. Part 2

Beyond Placement and Articulation: Usage-Driven Code Scenes for Embodied Interaction

The paper introduces RoomWright, a code‑driven framework that generates 3D indoor scenes for embodied AI by focusing on functional usage rather than just visual layout. It performs usage‑driven object reasoning, treating anchors as task centers to select task‑required objects and their affordances, and compiles interactions into trigger‑condition‑effect rules that update object states. The system also addresses ambiguous object orientation through annotation‑guided usage cues, producing scenes that are executable, editable, and ready for simulation‑based policy learning.

AI agents create virtual playgrounds to help robots get crucial training data

“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.

WorldClaw: Agentic 3D Open-World Generation at Scale

arXiv:2608. 05248v1 Announce Type: new Abstract: Generating large-scale, freely explorable 3D worlds from open-ended text remains challenging because a system must jointly maintain global spatial coherence, rich local content, and explicit assets suitable for downstream editing and reuse.