1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
FILIGREE3D: Scaling Sparse Latent Flow Matching for Ultra-High-Resolution Image-to-3D Generation
Hongjie Li, Xinran Yang, Xiuchao Wu +2
Scaling image-to-3D generation to ultra-high resolutions requires controlling rapidly growing computational costs without sacrificing fine geometric detail. We present \textbf{Fili…
cs.CV2024
GlossyGS: Inverse Rendering of Glossy Objects with 3D Gaussian Splatting
Shuichang Lai, Letian Huang, Jie Guo +6
Reconstructing objects from posed images is a crucial and complex task in computer graphics and computer vision. While NeRF-based neural reconstruction methods have exhibited impre…
cs.CV2024★ 1 cited
IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination
Xi Chen, Sida Peng, Dongchen Yang +4
This paper aims to recover object materials from posed images captured under an unknown static lighting condition. Recent methods solve this task by optimizing material parameters…