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Yeying Jin

3 papers indexed

arxivcs.CV2026-07-22

STEREOFLOW: Progressive Stereo Matching with StereoDiT and Transition Flow Matching

Hao Wang, Haoran Geng, Xiaotong Yang, Jing Tang, Songlin Wei, Linlong Lang, et al.

Stereo matching is a fundamental task in 3D reconstruction. Despite remarkable advances, the prevailing paradigms formulate stereo matching as a deterministic regression problem, collapsing the multimodal distribution modeling into a single-point estimation. This formulation suff…

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arxivcs.CV2026-07-16

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation

Yinhan Zhang, Dingwei Tan, Xianghao Kong, Yue Ma, Yeying Jin, Anyi Rao

Large-scale video diffusion models deliver strong generation performance, but full fine-tuning for downstream tasks incurs prohibitive computational costs. Existing parameter-efficient fine-tuning (PEFT) methods have two critical flaws on billion-scale models: they still require…

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arxivcs.CVcs.AIcs.ETcs.MM2026-06-27

Semantic-Aware, Physics-Informed, Geometry-Grounded Weather Video Synthesis

Chenghao Qian, Nedko Savov, Lingdong Kong, Yeying Jin, Rui Song, Wenjing Li, et al.

Weather synthesis aims to add weather effects to input videos while preserving scene identity, structure, and motion. The key limitation of existing methods is the lack of diversity in weather appearance and effective control over weather dynamics (e.g., temporal evolution and pa…

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