[SIGGRAPH 2025] One Model to Rig Them All: Diverse Skeleton Rigging with UniRig
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Updated
Jun 4, 2026 - Python
[SIGGRAPH 2025] One Model to Rig Them All: Diverse Skeleton Rigging with UniRig
SkinTokens: A Learned Compact Representation for Unified Autoregressive Rigging
RigAnything: Template‑Free Autoregressive Rigging for Diverse 3D Assets (SIGGRAPH TOG 2025)
A self-hosted cross-platform 3DAIGC software. Working with 3DAIGC algorithms completely deployed locally. Supported 3D workflows include MeshGen, Mesh Retopology, UV Unwrapping, TexGen, MeshSeg, AutoRig, Mesh Editing etc.
Procedural rigging tool for Maya
Local text to textured GLB on an AMD Strix Halo iGPU (gfx1151): FLUX.2 klein, a Vulkan-only TRELLIS.2 engine, and humanoid auto-rigging with SkinTokens on ROCm. No Blender, no CUDA.
This tool will help you build a 3D character rig without building it yourself from scratch. It will save you hours if not days of rigging work.
Open-source, evidence-gated pipeline from one concept image to a rigged, textured, animation-ready UE5 character: Hunyuan3D geometry and PBR, Blender retopo/UV/rig, UE 5.8 import verification and a playable gallery. Rigs with or without Auto-Rig Pro.
Modly extension for SkinTokens/TokenRig mesh auto-rigging, skin weight generation, and rigged GLB workflow output.
Modly extension for UniRig workspace processing, automatic rigging, and 3D character rig preparation.
In-editor, pure-C# deep-learning auto-rigger for s&box: 7 neural models turn any mesh into a skinned FBX + VMDL, with a live joint-editing preview and optional vast.ai cloud rigging.
Auto-rig humanoid GLB/FBX characters and convert them into animation-ready T-poses in Blender.
ZBEARs_Weight_Resetter_v_01_08
Config files for my GitHub profile.
Meshy API skill for Three.js game pipelines: text/image to 3D, humanoid rigging, 678-clip mocap library, GLB QA and a browser clip viewer
Run DeepSeek V4 locally on your machine with this open-source desktop workspace for private coding, research, and analysis. No cloud connection required.
使用jittor框架实现的神经网络模型,能够从3D点云数据(顶点和法线(可选))预测关节位置和蒙皮权重。
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