3 papers
cs.CV2025
Sparse-Up: Learnable Sparse Upsampling for 3D Generation with High-Fidelity Textures
Lu Xiao, Jiale Zhang, Yang Liu +2
The creation of high-fidelity 3D assets is often hindered by a 'pixel-level pain point': the loss of high-frequency details. Existing methods often trade off one aspect for another…
cs.CV2025
Swift4D:Adaptive divide-and-conquer Gaussian Splatting for compact and efficient reconstruction of dynamic scene
Jiahao Wu, Rui Peng, Zhiyan Wang +5
Novel view synthesis has long been a practical but challenging task, although the introduction of numerous methods to solve this problem, even combining advanced representations li…
cs.CV2024
HDRGS: High Dynamic Range Gaussian Splatting
Jiahao Wu, Lu Xiao, Rui Peng +2
Recent years have witnessed substantial advancements in the field of 3D reconstruction from 2D images, particularly following the introduction of the neural radiance field (NeRF) t…