AniGen uses unified S3 fields for animatable 3D asset generation, meaning the representation is designed to capture shape, structure, and semantics needed for downstream animation. The technical challenge is not only reconstructing geometry from one image, but producing assets that can deform, move, or be rigged more naturally. Evaluation should focus on geometry quality, texture fidelity, articulation readiness, and single-image generalization.
AniGen is valuable because most image-to-3D systems produce static assets that still require heavy cleanup before animation. By targeting animate-ready outputs, it can reduce the gap between generative 3D creation and production pipelines.
