3d models
30 articles about 3d models in AI news
Modly Desktop App Generates 3D Models from Images, Runs Locally
A developer has launched Modly, a desktop application that creates 3D models from images and processes them entirely on a user's local machine, eliminating cloud dependency.
DeemosTech Rodin Gen-2.5: 10M-Polygon 3D GenAI in 4 Seconds
DeemosTech claims Rodin Gen-2.5 generates 10M polygon 3D models in 4 seconds with skin microstructures, but provides no benchmarks or technical details.
Microsoft's TRELLIS.2: 4B Model Turns Images to 3D in 3 Seconds
Microsoft released TRELLIS.2, a 4B parameter open-source model that generates fully textured, physically accurate 3D models with PBR materials from a single image in about 3 seconds, handling complex geometry like open surfaces and hollow interiors.
Browser-Based Text-to-CAD Tool Emerges, Enabling Local 3D Model Generation from Prompts
A developer has built a text-to-CAD application that operates entirely within a web browser, enabling local generation and manipulation of 3D models from natural language descriptions. This approach eliminates cloud dependency and could lower barriers for rapid prototyping.
BrepCoder: The AI That Speaks CAD's Native Language
Researchers have developed BrepCoder, a multimodal AI that understands CAD designs in their native B-rep format. By treating 3D models as structured code, it performs multiple engineering tasks without task-specific retraining, potentially revolutionizing design automation.
SpatialBench: New Benchmark Tests Foundation Models on 3D Tasks
SpatialBench, a new benchmark from ropedia_ai, evaluates spatial foundation models across 7 tasks and 5 datasets, testing depth estimation, surface normal prediction, and 3D object detection.
VAST's $50M Funding Signals 3D AI Revolution: From Foundation Models to World Simulation
AI startup VAST has secured $50 million in Series A funding while advancing its 3D foundation models that are setting new industry standards. The company is preparing to launch its first world model, positioning itself at the forefront of spatial AI development.
From Flat Images to 3D Worlds: How Persistent 3D State Models Will Revolutionize Virtual Try-On and Digital Showrooms
PERSIST introduces world models with persistent 3D scene memory, enabling coherent, evolving 3D environments from single images. For luxury retail, this means photorealistic virtual try-on with perfect garment physics and immersive digital showrooms that customers can explore and customize.
The Next Platform Shift: How Persistent 3D World Models Are Becoming the New Programmable Interface
A new collaboration between Baseten and World Labs signals a paradigm shift where persistent 3D world models become programmable platforms, potentially rivaling the transformative impact of large language models through accessible developer APIs.
New Research Shows Pre-Aligned Multi-Modal Models Advance 3D Shape Retrieval from Images
A new arXiv paper demonstrates that pre-aligned image and 3D shape encoders, combined with hard contrastive learning, achieve state-of-the-art performance for image-based shape retrieval. This enables zero-shot retrieval without database-specific training.
CLIPoint3D Bridges the 3D Reality Gap: How Language Models Are Revolutionizing Point Cloud Adaptation
Researchers have developed CLIPoint3D, a novel framework that leverages frozen CLIP backbones for few-shot unsupervised 3D point cloud domain adaptation. The approach achieves 3-16% accuracy gains over conventional methods while dramatically improving efficiency by avoiding heavy trainable encoders.
Microsoft World-R1: RL Aligns Text-to-Video with 3D Physics
Microsoft's World-R1 framework applies reinforcement learning with feedback from pre-trained 3D foundation models to align text-to-video outputs with physical 3D constraints, improving structural coherence without modifying the underlying video diffusion architecture.
Developer Open-Sources 'Prompt-to-3D' Tool for Instant, Navigable World Generation
A developer has released an open-source tool that creates interactive 3D worlds from text or image inputs. This moves 3D asset generation from static models to instant, explorable environments.
Momentum-Consistency Fine-Tuning (MCFT) Achieves 3.30% Gain in 5-Shot 3D Vision Tasks Without Adapters
Researchers propose MCFT, an adapter-free fine-tuning method for 3D point cloud models that selectively updates encoder parameters with momentum constraints. It outperforms prior methods by 3.30% in 5-shot settings and maintains original inference latency.
Utonia AI Breakthrough: A Single Transformer Model Unifies All 3D Point Cloud Data
Researchers have developed Utonia, a single self-supervised transformer that learns unified 3D representations across diverse point cloud data types including LiDAR, CAD models, indoor scans, and video-lifted data. This breakthrough enables unprecedented cross-domain transfer and emergent behaviors in 3D AI.
JAEGER Breaks the 2D Barrier: How 3D Audio-Visual AI Could Transform Robotics and AR
Researchers introduce JAEGER, a framework that extends audio-visual large language models into 3D space using RGB-D and spatial audio. This breakthrough enables AI to understand and reason about physical environments with unprecedented spatial awareness.
NVIDIA Lyra 2.0 Launches on Hugging Face for Persistent 3D World Generation
NVIDIA has released Lyra 2.0 on Hugging Face, a framework designed to generate persistent, explorable 3D worlds at scale. It specifically addresses the core technical challenges of spatial forgetting and temporal drifting in long-horizon video generation.
Claude Code Builds Browser-Based 3D Flight Simulator in Weekend
A developer used Anthropic's Claude Code to build a complete 3D flight simulator that runs in a web browser over a weekend, demonstrating rapid AI-assisted game development.
Tencent Open-Sources HY-World 2.0 Multimodal 3D World Model
Tencent's Hunyuan AI lab has open-sourced HY-World 2.0, a multimodal world model capable of generating, reconstructing, and simulating interactive 3D scenes. This release provides a significant, freely available tool for 3D content creation and embodied AI research.
Tencent's HY-World 2.0 Generates Navigable 3D Worlds in Single Forward Pass
Tencent has open-sourced HY-World 2.0 on Hugging Face, a 3D world model that generates navigable 3D environments from text or image inputs in a single forward pass, advancing beyond video generation.
Open-Source 3D Building Editor Runs in Browser, Powered by AI
A developer has open-sourced a full 3D building editor that runs entirely in a web browser. This tool uses AI to lower the barrier to architectural design, potentially disrupting professional software workflows.
AllenAI's WildDet3D Enables Promptable 3D Object Detection from Single Images
Allen Institute for AI (AllenAI) has open-sourced WildDet3D, a model for promptable 3D object detection from single RGB images. It predicts 3D bounding boxes using flexible prompts and can integrate optional depth data.
How to Build a 3D Engine with Claude Code: The Demoscene Case Study
A developer used Claude Code to build a complete 3D engine from scratch. Here are the actionable prompting techniques and CLAUDE.md strategies that made it work.
QuatRoPE: New Positional Embedding Enables Linear-Scale 3D Spatial Reasoning in LLMs, Outperforming Quadratic Methods
Researchers propose QuatRoPE, a novel positional embedding method that encodes 3D object relations with linear input scaling. Paired with IGRE, it improves spatial reasoning in LLMs while preserving their original language capabilities.
NVIDIA Releases NVPanoptix-3D on Hugging Face: Single-Image 3D Indoor Scene Reconstruction
NVIDIA has open-sourced NVPanoptix-3D, a model that reconstructs complete 3D indoor scenes—including panoptic segmentation, depth, and geometry—from a single RGB image in one forward pass.
New Research Improves Text-to-3D Motion Retrieval with Interpretable Fine-Grained Alignment
Researchers propose a novel method for retrieving 3D human motion sequences from text descriptions using joint-angle motion images and token-patch interaction. It outperforms state-of-the-art methods on standard benchmarks while offering interpretable correspondences.
Meshcraft Democratizes 3D Creation: Multi-Engine AI Platform Bridges Text-to-3D Gap
Meshcraft emerges as a web-based platform offering text-to-3D and image-to-3D generation with selectable AI engines. The tool provides both free and premium options, addressing quality bottlenecks in 3D generation through engine optimization rather than image model refinement.
VGGT-Det: How AI Is Learning to See in 3D Without Camera Calibration
Researchers have developed VGGT-Det, a breakthrough framework for multi-view 3D object detection that works without calibrated camera poses. The system mines internal geometric priors through attention mechanisms, outperforming traditional methods in indoor environments.
AI Game Engine Breakthrough: Complete 3D Worlds Generated in Seconds
A revolutionary AI system can now generate fully functional 3D games in seconds, complete with interactive worlds, moving characters, and working gameplay systems. This browser-based technology represents a quantum leap in procedural content creation.
BetterScene Bridges the Gap: How Aligning AI Representations Unlocks Photorealistic 3D Synthesis
Researchers introduce BetterScene, a novel AI method that dramatically improves 3D scene generation from just a handful of photos. By aligning the internal representations of a powerful video diffusion model, it produces consistent, artifact-free novel views, pushing the boundary of what's possible in computational photography and virtual world creation.