EVA3D

EVA3D is a pioneering technical framework designed for compositional 3D-aware human generation from unstructured 2D image collections. Unlike traditional global Neural Radiance Fields (NeRFs) that struggle with the complex articulations of the human body, EVA3D utilizes a part-based architecture. It decomposes the human figure into manageable, learnable components—such as limbs and torso—within a canonical space, guided by the SMPL (Skinned Multi-Person Linear) body model. This approach allows for unprecedented control over camera viewpoints and body poses while maintaining high-resolution outputs at 512x512 pixels. By 2026, EVA3D has transitioned from a purely academic project to a foundational open-source tool for the metaverse, fashion e-commerce, and synthetic data industries. Its architecture supports efficient rendering and avoids the blurring artifacts common in earlier NeRF-based human synthesizers. The model is particularly optimized for scenarios requiring diverse human assets where 3D scanning is cost-prohibitive, offering a scalable alternative for generating hyper-realistic digital humans that are fully compatible with standard animation pipelines.