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ViP-Rig: Visual-Prompted Controllable Rigging Framework Unveiled

Researchers have developed ViP-Rig, a novel framework for controllable 3D character rigging. This system allows users to guide the rigging process through visual prompts, such as skeletal sketches or rigidity maps. ViP-Rig operates in two stages: generating a skeleton and predicting skinning weights, utilizing frozen pretrained models with injected prompt features to maintain geometric priors while offering explicit control over the resulting skeleton and deformation. Experiments on Articulation-XL2.0 and ModelsResource datasets demonstrate ViP-Rig's superior accuracy and control compared to existing geometry-conditioned methods. AI

IMPACT This framework offers artists more precise control over 3D character rigging, potentially streamlining animation workflows.

RANK_REASON The cluster contains a research paper detailing a new method for 3D character rigging. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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ViP-Rig: Visual-Prompted Controllable Rigging Framework Unveiled

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zihan Qin, Mingze Sun, Yifan Mao, Jialei Xu, Jingfeng Guo, Changrong Hu, Wenbo Zhao, Junjun Jiang, Xianming Liu ·

    ViP-Rig: Visual-Prompted Controllable Rigging

    arXiv:2607.27982v1 Announce Type: new Abstract: Rigging is inherently task-dependent because the same mesh may require different skeletons and deformation behaviors across animation tasks. In practice, artists often inspect an initial rig and repeatedly edit its skeletal structur…