arXiv:2607.07187v2 Announce Type: replace
Abstract: Local editing of 3D objects remains a long-standing challenge. When interacting with 3D content, humans naturally tend to specify a coarse region o...
By Youtan Yin, Yanning Zhou, Jiacheng Wei, Xiaofeng Yang, Jun Zhang, Jiayang Bai, Jingwen Ye, Weidong Zhang, Guosheng Lin
arXiv:2508.01684v2 Announce Type: replace
Abstract: While diffusion models have demonstrated remarkable progress in 2D image generation and editing, extending these capabilities to 3D editing remains...
By Yufeng Chi, Huimin Ma, Kafeng Wang, Jianmin Li
arXiv:2606. 27584v1 Announce Type: cross Abstract: 3D scene inpainting is essential for reconstructing areas corrupted by occlusions or limited viewpoints.
By Hana Kim, Minje Kim, Tae-Kyun Kim
arXiv:2511.22228v3 Announce Type: replace-cross
Abstract: Recent advancements in diffusion and flow models have greatly improved text-based image editing, yet methods that edit images independently o...
By Josef Bengtson, David Nilsson, Dong In Lee, Yaroslava Lochman, Fredrik Kahl
arXiv:2609.14899v1 Announce Type: new
Abstract: Neural 3D scene editing is often evaluated by semantic alignment alone, although a convincing result may alter unrelated content or become inconsistent...
By Sariah Patro, Arjun Mehra, Nikhil Bhatia
arXiv:2608.30870v1 Announce Type: new
Abstract: Semantic segmentation in 3D Gaussian Splatting (3DGS) is crucial for advancing 3D scene understanding. Existing methods predominantly rely on feature d...
By Kun Cao, Di Wang, Haibin Zhu, Haozhi Huang, Xu Wang, Zheng Shi, Guanghua Yang