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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. RESEARCH · arXiv cs.CV English(EN) · · [2 sources]

    TopoCap: Learning Topology-Agnostic Motion Priors for Monocular Video-to-Animation

    Researchers have developed TopoCap, a novel framework for generating animations from monocular video that can adapt to any skeletal structure. This system learns a universal motion manifold, disentangling motion dynamics from specific topologies. It utilizes a Graph CVAE and conditional flow matching to predict topology-agnostic motion codes from visual input. The framework was trained on Mobjaverse, a large-scale dataset featuring over 5,000 skeletal topologies, enabling zero-shot retargeting for diverse 3D characters. AI

    IMPACT Enables animation of arbitrary 3D characters from video, potentially streamlining content creation for games and VFX.

  2. RESEARCH · arXiv cs.CV English(EN) · · [2 sources]

    AnimateAnyMesh++: A Flexible 4D Foundation Model for High-Fidelity Text-Driven Mesh Animation

    Researchers have developed AnimateAnyMesh++, a new framework for creating high-fidelity animations of 3D models from text prompts. The system significantly expands the DyMesh-XL dataset, incorporating 300,000 unique identities to improve diversity. Key architectural enhancements to DyMeshVAE-Flex and the rectified-flow generator enable support for variable-length sequences, allowing for longer and more coherent animations. AI

    AnimateAnyMesh++: A Flexible 4D Foundation Model for High-Fidelity Text-Driven Mesh Animation

    IMPACT Advances text-driven 3D mesh animation quality and efficiency, potentially enabling new tools for content creation.