activity
20232026
most citedD: Scaling Up Deepfake Detection by Learning from Discrepancy

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation

Zijie Lou, Youyun Tang, Xiaochao Qu +40

This paper presents an overview of the inaugural PortraitCraft Challenge, held as one of the official competitions at CVPR 2026. The challenge focuses on portrait composition under…

cs.CV2025

Towards One-step Causal Video Generation via Adversarial Self-Distillation

Yongqi Yang, Huayang Huang, Xu Peng +5

Recent hybrid video generation models combine autoregressive temporal dynamics with diffusion-based spatial denoising, but their sequential, iterative nature leads to error accumul…

cs.CV2024

SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation

Yuhan Pei, Ruoyu Wang, Yongqi Yang +3

Originating from the diffusion phenomenon in physics, which describes the random movement and collisions of particles, diffusion generative models simulate a random walk in the dat…

cs.CV2024

CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation

Wei Chen, Lin Li, Yongqi Yang +5

Interleaved image-text generation has emerged as a crucial multimodal task, aiming at creating sequences of interleaved visual and textual content given a query. Despite notable ad…

cs.CV2024★ 1 cited

D: Scaling Up Deepfake Detection by Learning from Discrepancy

Yongqi Yang, Zhihao Qian, Ye Zhu +2

The boom of Generative AI brings opportunities entangled with risks and concerns. Existing literature emphasizes the generalization capability of deepfake detection on unseen gener…

cs.CV2023

Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation

Ruoyu Wang, Yongqi Yang, Zhihao Qian +2

Originating from the diffusion phenomenon in physics that describes particle movement, the diffusion generative models inherit the characteristics of stochastic random walk in the…