text-to-motion
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Tencent’s HY-Motion 1.0: Text-to-3D Motion Model
Read Full Article: Tencent’s HY-Motion 1.0: Text-to-3D Motion Model
Tencent Hunyuan's 3D Digital Human team has introduced HY-Motion 1.0, a billion-parameter text-to-3D motion generation model built on the Diffusion Transformer (DiT) architecture with Flow Matching. This model translates natural language prompts into 3D human motion clips using a unified SMPL-H skeleton, making it suitable for digital humans, game characters, and cinematics. The model is trained on a vast dataset of over 3,000 hours of motion data, including high-quality motion capture and animation assets, and is designed to improve instruction following and motion realism through reinforcement learning techniques. HY-Motion 1.0 is available on GitHub and Hugging Face, offering developers tools and interfaces for integration into various animation and game development pipelines. Why this matters: HY-Motion 1.0 represents a significant advancement in AI-driven 3D animation, enabling more realistic and diverse character motions from simple text prompts, which can enhance digital content creation across industries.
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Tencent HY-Motion 1.0: Text-to-Motion Model
Read Full Article: Tencent HY-Motion 1.0: Text-to-Motion Model
Tencent HY-Motion 1.0 is an open-source, billion-parameter model that converts text into 3D character animations using the Diffusion Transformer (DiT) architecture and flow matching. This model enhances the capabilities of developers and creators by providing high-fidelity, fluid, and diverse animations that can be easily integrated into existing 3D animation workflows. It features a full-stage training strategy, including pre-training, supervised fine-tuning, and reinforcement learning, to ensure physical plausibility and semantic accuracy across over 200 motion categories. This advancement sets a new standard for instruction-following capability and motion quality in the industry. This matters because it significantly enhances the ability to create complex and realistic 3D animations from natural language, broadening the possibilities for content creation and innovation in digital media.