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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

MetaPoint: Unlocking Precise Spatial Control in Agentic Visual Generation

Dewei Zhou, Xinyu Huang, Xun Wang +6

Generative visual models fundamentally struggle with precise spatial control. This arises from a core disconnect: models can process textual descriptions of space but cannot direct…

cs.CV2026

RefineAnything: Multimodal Region-Specific Refinement for Perfect Local Details

Dewei Zhou, You Li, Zongxin Yang +1

We introduce region-specific image refinement as a dedicated problem setting: given an input image and a user-specified region (e.g., a scribble mask or a bounding box), the goal i…

cs.CV2026

TRACE: High-Fidelity 3D Scene Editing via Tangible Reconstruction and Geometry-Aligned Contextual Video Masking

Jiyuan Hu, Zechuan Zhang, Zongxin Yang +1

Existing 3D Gaussian Splatting (3DGS) editing methods primarily focus on appearance modification and often struggle to support flexible geometry editing while preserving structural…

cs.CV2026

Stroke3D: Lifting 2D strokes into rigged 3D model via latent diffusion models

Ruisi Zhao, Haoren Zheng, Zongxin Yang +2

Rigged 3D assets are fundamental to 3D deformation and animation. However, existing 3D generation methods face challenges in generating animatable geometry, while rigging technique…

cs.CV2025

3DIS: Depth-Driven Decoupled Instance Synthesis for Text-to-Image Generation

Dewei Zhou, Ji Xie, Zongxin Yang +1

The increasing demand for controllable outputs in text-to-image generation has spurred advancements in multi-instance generation (MIG), allowing users to define both instance layou…