most citedDance Your Latents: Consistent Dance Generation through Spatial-temporal Subspace Attention Guided by Motion Flow

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

collaborators

6 papers

cs.CV2024

DragEntity: Trajectory Guided Video Generation using Entity and Positional Relationships

Zhang Wan, Sheng Tang, Jiawei Wei +2

In recent years, diffusion models have achieved tremendous success in the field of video generation, with controllable video generation receiving significant attention. However, ex…

cs.CV2024

Visual-Friendly Concept Protection via Selective Adversarial Perturbations

Xiaoyue Mi, Fan Tang, You Wu +3

Personalized concept generation by tuning diffusion models with a few images raises potential legal and ethical concerns regarding privacy and intellectual property rights. Researc…

cs.CV2023

Rethinking Image Editing Detection in the Era of Generative AI Revolution

Zhihao Sun, Haipeng Fang, Xinying Zhao +2

The accelerated advancement of generative AI significantly enhance the viability and effectiveness of generative regional editing methods. This evolution render the image manipulat…

cs.CV2023

Adversarial Robust Memory-Based Continual Learner

Xiaoyue Mi, Fan Tang, Zonghan Yang +4

Despite the remarkable advances that have been made in continual learning, the adversarial vulnerability of such methods has not been fully discussed. We delve into the adversarial…

cs.CV2023

Topology-preserving Adversarial Training for Alleviating Natural Accuracy Degradation

Xiaoyue Mi, Fan Tang, Yepeng Weng +5

Despite the effectiveness in improving the robustness of neural networks, adversarial training has suffered from the natural accuracy degradation problem, i.e., accuracy on natural…

cs.CV20231 cited

Dance Your Latents: Consistent Dance Generation through Spatial-temporal Subspace Attention Guided by Motion Flow

Haipeng Fang, Zhihao Sun, Ziyao Huang +3

The advancement of generative AI has extended to the realm of Human Dance Generation, demonstrating superior generative capacities. However, current methods still exhibit deficienc…