Reshoot-Anything trains a diffusion transformer on pseudo multi-view triplets created by cropping and warping monocular videos to achieve temporally consistent video reshooting with robust camera control on dynamic scenes.
Slicedit: Zero- shot video editing with text-to-image diffusion models us- ing spatio-temporal slices.arXiv preprint arXiv:2405.12211
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
A palette-based framework decomposes 2D Gaussian Splatting scenes into shared BRDF prototypes via a spatial material field for coherent editing and relighting under physical rendering.
citing papers explorer
-
Reshoot-Anything: A Self-Supervised Model for In-the-Wild Video Reshooting
Reshoot-Anything trains a diffusion transformer on pseudo multi-view triplets created by cropping and warping monocular videos to achieve temporally consistent video reshooting with robust camera control on dynamic scenes.
-
MaterialClusterGS: Palette-Based Material Decomposition and Physically-Based Relighting with 2D Gaussian Splatting
A palette-based framework decomposes 2D Gaussian Splatting scenes into shared BRDF prototypes via a spatial material field for coherent editing and relighting under physical rendering.