Make-A-Character 2: Animatable 3D Character Generation From a Single Image
원문 초록
This report introduces Make-A-Character 2, an advanced system for generating high-quality 3D characters from single portrait photographs, ideal for game development and digital human applications. Make-A-Character 2 builds upon its predecessor by incorporating several significant improvements for image-based head generation. We utilize the IC-Light method to correct non-ideal illumination in input photos and apply neural network-based color correction to harmonize skin tones between the photos and game engine renders. We also employ the Hierarchical Representation Network to capture high-frequency facial structures and conduct adaptive skeleton calibration for accurate and expressive facial animations. The entire image-to-3D-character generation process takes less than 2 minutes. Furthermore, we leverage transformer architecture to generate co-speech facial and gesture actions, enabling real-time conversation with the generated character. These technologies have been integrated into our conversational AI avatar products.
함께 살펴볼 논문
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PhysX: Physical-Grounded 3D Asset Generation
SOAP: Style-Omniscient Animatable Portraits
SVAD: From Single Image to 3D Avatar via Synthetic Data Generation with Video Diffusion and Data Augmentation
DiMeR: Disentangled Mesh Reconstruction Model
Objaverse++: Curated 3D Object Dataset with Quality Annotations
An Empirical Study of GPT-4o Image Generation Capabilities
토론
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