activity
20232026
most citedRobustness and Generalizability of Deepfake Detection: A Study with Diffusion Models

8 citations · 8 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2026

ToW3D: Consistency-aware Interactive Point-based Mesh Editing on GANs

Haixu Song, Fangfu Liu, Chenyu Zhang +1

In this paper, we propose ToW3D that enables precise and consistent control over 3D generative adversarial networks (GANs) with the Tug-of-War competition between shape deformation…

cs.CV2026

AdaForensics: Learning A Characteristic-aware Adaptive Deepfake Detector

Xiaoke Yang, Haixu Song, Xiangyu Lu +2

In this paper, we propose a characteristic-aware adaptive network named AdaForensics for deepfake detection. Most existing methods learn a fixed network to detect deepfakes based o…

cs.CV2026

UniqueSplat: View-conditioned 3D Gaussian Splatting for Generalizable 3D Reconstruction

Haixu Song, Xiaoke Yang, Shengjun Zhang +2

In this paper, we propose UniqueSplat, a view-conditioned feed-forward 3D Gaussian Splatting model to reconstruct customized 3D radiance fields for each view query. Existing feed-f…

cs.CV2025

Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images

Shengjun Zhang, Xin Fei, Fangfu Liu +2

3D Gaussian Splatting (3DGS) has demonstrated impressive novel view synthesis performance. While conventional methods require per-scene optimization, more recently several feed-for…

cs.CV2024

DreamCinema: Cinematic Transfer with Free Camera and 3D Character

Weiliang Chen, Fangfu Liu, Diankun Wu +3

We are living in a flourishing era of digital media, where everyone has the potential to become a personal filmmaker. Current research on video generation suggests a promising aven…

cs.CV2023★ 8 cited

Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models

Haixu Song, Shiyu Huang, Yinpeng Dong +1

The rise of deepfake images, especially of well-known personalities, poses a serious threat to the dissemination of authentic information. To tackle this, we present a thorough inv…