activity
20182026
most citedVideo Representation Learning with Visual Tempo Consistency

61 citations · 350 across the 65 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

cs.CV2025

Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset

Qingyan Bai, Qiuyu Wang, Hao Ouyang +10

Instruction-based video editing promises to democratize content creation, yet its progress is severely hampered by the scarcity of large-scale, high-quality training data. We intro…

cs.GR2025★ 1 cited

Mixture of Contexts for Long Video Generation

Shengqu Cai, Ceyuan Yang, Lvmin Zhang +10

Long video generation is fundamentally a long context memory problem: models must retain and retrieve salient events across a long range without collapsing or drifting. However, sc…

cs.CV2025

Video World Models with Long-term Spatial Memory

Tong Wu, Shuai Yang, Ryan Po +4

Emerging world models autoregressively generate video frames in response to actions, such as camera movements and text prompts, among other control signals. Due to limited temporal…

cs.CV2025

Interspatial Attention for Efficient 4D Human Video Generation

Ruizhi Shao, Yinghao Xu, Yujun Shen +5

Generating photorealistic videos of digital humans in a controllable manner is crucial for a plethora of applications. Existing approaches either build on methods that employ templ…

cs.GR2025

GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling

Yang Zheng, Menglei Chai, Delio Vicini +5

We present GroomLight, a novel method for relightable hair appearance modeling from multi-view images. Existing hair capture methods struggle to balance photorealistic rendering wi…

cs.CV2025

CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models

Hao He, Ceyuan Yang, Shanchuan Lin +7

This paper introduces CameraCtrl II, a framework that enables large-scale dynamic scene exploration through a camera-controlled video diffusion model. Previous camera-conditioned v…

cs.CV2025

FLARE: Feed-forward Geometry, Appearance and Camera Estimation from Uncalibrated Sparse Views

Shangzhan Zhang, Jianyuan Wang, Yinghao Xu +5

We present FLARE, a feed-forward model designed to infer high-quality camera poses and 3D geometry from uncalibrated sparse-view images (i.e., as few as 2-8 inputs), which is a cha…

cs.CV2025

Edicho: Consistent Image Editing in the Wild

Qingyan Bai, Hao Ouyang, Yinghao Xu +5

As a verified need, consistent editing across in-the-wild images remains a technical challenge arising from various unmanageable factors, like object poses, lighting conditions, an…