WilLaGS: Latent-Conditional 3D Appearance Fields for Robust Gaussian Splatting In-the-Wild
A generative appearance model where a $\beta$-VAE learns a structured and continuous manifold of global appearance is introduced, Conditioned on the latent code, a 3D neural appearance field is constructed that generates dynamic Tri-Plane features to encode spatially-varying local illumination effects.