This is RICULOUSLY good, TRELLIS 3D Generation model by... Microsoft! 🔥 Generate high-quality 3D assets from text or image prompts. Supports various formats like Radiance Fields, 3D Gaussians, and meshes Available for FREE on Hugging Face!show more

Today, we’re introducing Meta’s latest 3D foundation model, AssetGen... 2.0, which was designed to create high-quality 3D assets from text and image prompts. AssetGen 2.0 consists of two models developed within Meta: one to generate 3D meshes and another to generate textures. Read More:show more

DreamCraft3D++ can generate animatable high-quality 3D assets from an... image in 10 minutes! Yes, it supports meshes 🔥 Links ⬇️show more

NVIDIA introduces Edify 3D AI model You can generate... high quality 3D assets from text or image input under 2 minutes! With PBR materials, quad-mesh topologies, and 4k textures. 6 wild examples:show more

Hunyuan 3D-2.1 turns any flat image into studio-quality 3D... models. And you can do it on this Hugging Face space for free.show more

Microsoft TRELLIS.2 is here 🔥 • Single image →... textured 3D mesh • 4B params, flow-matching transformer • Up to 1536³ resolution • Open weights, MIT licensed ⬇️ Demo available on Hugging Faceshow more

Introducing 📦𝗔𝗿𝘁𝗶𝗟𝗮𝘁𝗲𝗻𝘁🔧 (SIGGRAPH Asia 2025) — a high-quality 3D... diffusion model that explicitly models object articulation, paving the way for richer, more realistic assets in embodied AI and simulation: – Generates fully articulated 3D objects – Physically plausible joints & motion – High-fidelity 3D Gaussian appearance – Supports generation from a single real image arXiv: Project: Code (coming soon):show more

Here’s how to create this cool 3D scene from... a single image! 📸 Midjourney (isometric image generation) Trellis (Image to 3D Gaussian Splat) Browser Lab (3D Editor Splat Import)show more

Roblox just casually dropped a app for Cube 3D... on Hugging Face generates 3D models directly from textshow more

Segment Any 3D Gaussians paper page: Interactive 3D segmentation... in radiance fields is an appealing task since its importance in 3D scene understanding and manipulation. However, existing methods face challenges in either achieving fine-grained, multi-granularity segmentation or contending with substantial computational overhead, inhibiting real-time interaction. In this paper, we introduce Segment Any 3D GAussians (SAGA), a novel 3D interactive segmentation approach that seamlessly blends a 2D segmentation foundation model with 3D Gaussian Splatting (3DGS), a recent breakthrough of radiance fields. SAGA efficiently embeds multi-granularity 2D segmentation results generated by the segmentation foundation model into 3D Gaussian point features through well-designed contrastive training. Evaluation on existing benchmarks demonstrates that SAGA can achieve competitive performance with state-of-the-art methods. Moreover, SAGA achieves multi-granularity segmentation and accommodates various prompts, including points, scribbles, and 2D masks. Notably, SAGA can finish the 3D segmentation within milliseconds, achieving nearly 1000x acceleration compared to previous SOTA.show more

2025 is year of 3D AI Rodin AI 1.5... now can not only generate 3D model with clean meshes but also create high quality textures You can export all the models to 3D software to create a new worldshow more

(1/2) Check out 𝐆𝐚𝐮𝐬𝐬𝐢𝐚𝐧𝐀𝐯𝐚𝐭𝐚𝐫𝐬: Photorealistic Head Avatars with Rigged... 3D Gaussians! We create photorealistic head avatars by animating 3D Gaussians on a parametric face model - edited and rendered in *real-time*!show more

Progressive Rendering Distillation released on Hugging Face Adapting Stable... Diffusion for Instant Text-to-Mesh Generation without 3D Datashow more

🚨 TRELLIS.2 is now live on fal! 🎯 Image-to-3D... model producing up to 1536³ PBR textured assets 🎨 Handles arbitrary topology with rich PBR textures (Base Color, Metallic, Roughness, Alpha) ⚡ 16× spatial compression for efficient, scalable, high-fidelity asset generationshow more

Meta dropped not just SAM-3 yesterday but also SAM-3D... (for objects and humans)🤯 SAM 3D Body is a promptable model for recovering full-body 3D human meshes from a single image. Seems to be the new SOTAshow more

Minecraft 3D generation now at the highest quality ever,... built using fal ⛏️ Text → Image (nano-banana-pro) → 3D mesh (Hunyuan 3D v3.1) → Voxelize → Texture mapping → Minecraft structure!show more

📢🚗✨ Excited to announce InfiniCube, our scalable generative model... for dynamic 3D driving scene generation with high fidelity and controllability! InfiniCube generates very large-scale (300m×400m ~ 100,000m^2), dynamic 3D driving scenes given HD maps, 3D bounding boxes, and text prompts as controls. Website: Props to Yifan Lu for leading this project!!!! [1/N]show more

🚀Rodin Gen-1 is the largest 3D-native #GenerativeAI, which is... same as #SD. Besides its ability to generate #3D model and #PBR material, it can also creates objects from simple shapes with prompts, so called 3D-to-3D.🔥 We will soon reveal more features. Stay tuned!show more

Hi3DGen 🔥 High-fidelity 3D geometry generation from a single... image by leveraging normal maps as an intermediate representationshow more

As announced in partnership with NVIDIA at CES, we’re... excited to introduce Stable Point Aware 3D (SPAR3D), setting a new standard in 3D generation. Ideal for running on NVIDIA RTX AI PCs, SPAR3D enables real-time editing and complete structure generation of 3D objects from a single image in under a second. You can download the weights on Hugging Face and code on GitHub, or access the model through the Stability AI API. Learn more here: (1/3)show more