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cs.CV2025

Edit3r: Instant 3D Scene Editing from Sparse Unposed Images

Jiageng Liu, Weijie Lyu, Xueting Li +2

We present Edit3r, a feed-forward framework that reconstructs and edits 3D scenes in a single pass from unposed, view-inconsistent, instruction-edited images. Unlike prior methods…

cs.CV2025

Pursuing Minimal Sufficiency in Spatial Reasoning

Yejie Guo, Yunzhong Hou, Wufei Ma +2

Spatial reasoning, the ability to ground language in 3D understanding, remains a persistent challenge for Vision-Language Models (VLMs). We identify two fundamental bottlenecks: in…

cs.CV2025

CoCo4D: Comprehensive and Complex 4D Scene Generation

Junwei Zhou, Xueting Li, Lu Qi +1

Existing 4D synthesis methods primarily focus on object-level generation or dynamic scene synthesis with limited novel views, restricting their ability to generate multi-view consi…

cs.CV2025

HoliGS: Holistic Gaussian Splatting for Embodied View Synthesis

Xiaoyuan Wang, Yizhou Zhao, Botao Ye +6

We propose HoliGS, a novel deformable Gaussian splatting framework that addresses embodied view synthesis from long monocular RGB videos. Unlike prior 4D Gaussian splatting and dyn…

cs.CV2025

Synthesizing Consistent Novel Views via 3D Epipolar Attention without Re-Training

Botao Ye, Sifei Liu, Xueting Li +2

Large diffusion models demonstrate remarkable zero-shot capabilities in novel view synthesis from a single image. However, these models often face challenges in maintaining consist…

cs.CV2024

No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images

Botao Ye, Sifei Liu, Haofei Xu +4

We introduce NoPoSplat, a feed-forward model capable of reconstructing 3D scenes parameterized by 3D Gaussians from \textit{unposed} sparse multi-view images. Our model, trained ex…