activity
20222025
most citedTemporal and Contextual Transformer for Multi-Camera Editing of TV Shows

1 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2025

Multi-identity Human Image Animation with Structural Video Diffusion

Zhenzhi Wang, Yixuan Li, Yanhong Zeng +4

Generating human videos from a single image while ensuring high visual quality and precise control is a challenging task, especially in complex scenarios involving multiple individ…

cs.CV2024

Imagine360: Immersive 360 Video Generation from Perspective Anchor

Jing Tan, Shuai Yang, Tong Wu +4

videos offer a hyper-immersive experience that allows the viewers to explore a dynamic scene from full 360 degrees. To achieve more user-friendly and personalized conte…

cs.CV2024

SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

Shuangrui Ding, Rui Qian, Xiaoyi Dong +6

The Segment Anything Model 2 (SAM 2) has emerged as a powerful foundation model for object segmentation in both images and videos, paving the way for various downstream video appli…

cs.CV20231 cited

SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models

Yuwei Guo, Ceyuan Yang, Anyi Rao +3

The development of text-to-video (T2V), i.e., generating videos with a given text prompt, has been significantly advanced in recent years. However, relying solely on text prompts o…

cs.CV20221 cited

Temporal and Contextual Transformer for Multi-Camera Editing of TV Shows

Anyi Rao, Xuekun Jiang, Sichen Wang +7

The ability to choose an appropriate camera view among multiple cameras plays a vital role in TV shows delivery. But it is hard to figure out the statistical pattern and apply inte…