most citedControllable 3D Face Generation with Conditional Style Code Diffusion

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cs.CV2026

Beyond Pixels: From Video Priors to 4D Worlds

Zihao Liu, Xiaolong Shen, Zhenglin Zhou +2

4D generation synthesizes dynamic 3D scenes from conditions such as text or images. Existing methods either reconstruct generated RGB videos with a separate 4D model or adapt a par…

cs.CV2026

Restore3D: Breathing Life into Broken Objects with Shape and Texture Restoration

Xiaolong Shen, Zongxin Yang, Yi Yang

Restoring incomplete or damaged 3D objects is crucial for cultural heritage preservation, occluded object reconstruction, and artistic design. Existing methods primarily focus on g…

cs.CV2026

From Uncertainty to Stability and Fidelity: Guiding Sparse-View 3D Gaussian Splatting with Fisher Information

Junbao Zhou, Qingshan Xu, Yuan Zhou +7

3D Gaussian Splatting (3DGS) has emerged as a promising technique for novel view synthesis. However, 3DGS requires dense input views to achieve high-quality rendering. In sparse-vi…

cs.CV2026

PhyEdit: Towards Real-World Object Manipulation via Physically-Grounded Image Editing

Ruihang Xu, Dewei Zhou, Xiaolong Shen +2

Achieving physically accurate object manipulation in image editing is essential for its potential applications in interactive world models. However, existing visual generative mode…

cs.CV20241 cited

Controllable 3D Face Generation with Conditional Style Code Diffusion

Xiaolong Shen, Jianxin Ma, Chang Zhou +1

Generating photorealistic 3D faces from given conditions is a challenging task. Existing methods often rely on time-consuming one-by-one optimization approaches, which are not effi…