Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis

Understand

Novel view synthesis from sparse inputs is a vital yet challenging task in 3D computer vision.

• Previous methods explore 3D Gaussian Splatting with neural priors (e.g.
• depth priors) as an additional supervision, demonstrating promising quality and efficiency compared to the NeRF based methods.
• However, the neural priors from 2D pretrained models are often noisy and blurry, which struggle to precisely guide the learning of radiance fields.