2 papers
cs.CV2025
Learning Compact Latent Space for Representing Neural Signed Distance Functions with High-fidelity Geometry Details
Qiang Bai, Bojian Wu, Xi Yang +1
Neural signed distance functions (SDFs) have been a vital representation to represent 3D shapes or scenes with neural networks. An SDF is an implicit function that can query signed…
cs.CV2025
GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors
Xingyilang Yin, Qi Zhang, Jiahao Chang +6
Reconstructing 3D scenes using 3D Gaussian Splatting (3DGS) from sparse views is an ill-posed problem due to insufficient information, often resulting in noticeable artifacts. Whil…