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cs.CV2026

TimePLE: Rethinking Temporal Representation for Video Temporal Grounding

Yuhui Zeng, Xinyu Mao, Xiaokun Liu +4

Video temporal grounding (VTG) aims to localize the continuous video interval described by a natural-language query. However, current VLM-based methods typically produce this inter…

cs.CV2026

Fast-SAM3D: 3Dfy Anything in Images but Faster

Weilun Feng, Mingqiang Wu, Zhiliang Chen +10

SAM3D enables scalable, open-world 3D reconstruction from complex scenes, yet its deployment is hindered by prohibitive inference latency. In this work, we conduct the \textbf{firs…

cs.CV2025

FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion

Xiangyang Luo, Qingyu Li, Xiaokun Liu +7

Current video generation models perform well at single-shot synthesis but struggle with multi-shot videos, facing critical challenges in maintaining character and background consis…

cs.CV2025

HumanAesExpert: Advancing a Multi-Modality Foundation Model for Human Image Aesthetic Assessment

Zhichao Liao, Xiaokun Liu, Wenyu Qin +6

Image Aesthetic Assessment (IAA) is a long-standing and challenging research task. However, its subset, Human Image Aesthetic Assessment (HIAA), has been scarcely explored. To brid…

cs.CV2025

Improving Video Generation with Human Feedback

Jie Liu, Gongye Liu, Jiajun Liang +14

Video generation has achieved significant advances through rectified flow techniques, but issues like unsmooth motion and misalignment between videos and prompts persist. In this w…