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20242026
most citedLong-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model

3 citations · 7 across the 6 of their papers we have counts for

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9 papers · 1 filter

cs.CV2026

DistillAlign: Coordinating Mode Covering and Mode Seeking in Autoregressive Video Distillation

Jiaxing Li, Kai Zou, Cindy Zhou +7

Existing autoregressive video distillation methods commonly adopt a Distribution Matching Distillation (DMD)-based multi-stage pipeline. However, they typically decouple the initia…

cs.CV20261 cited

MegaStyle: Constructing Diverse and Scalable Style Dataset via Consistent Text-to-Image Style Mapping

Junyao Gao, Sibo Liu, Jiaxing Li +6

In this paper, we introduce MegaStyle, a novel and scalable data curation pipeline that constructs an intra-style consistent, inter-style diverse and high-quality style dataset. We…

cs.CV2025

CamPVG: Camera-Controlled Panoramic Video Generation with Epipolar-Aware Diffusion

Chenhao Ji, Chaohui Yu, Junyao Gao +2

Recently, camera-controlled video generation has seen rapid development, offering more precise control over video generation. However, existing methods predominantly focus on camer…

cs.CV20251 cited

CharacterShot: Controllable and Consistent 4D Character Animation

Junyao Gao, Jiaxing Li, Wenran Liu +5

In this paper, we propose \textbf{CharacterShot}, a controllable and consistent 4D character animation framework that enables any individual designer to create dynamic 3D character…

cs.CV2025

One Object, Multiple Lies: A Benchmark for Cross-task Adversarial Attack on Unified Vision-Language Models

Jiale Zhao, Xinyang Jiang, Junyao Gao +2

Unified vision-language models(VLMs) have recently shown remarkable progress, enabling a single model to flexibly address diverse tasks through different instructions within a shar…

cs.CV2025

TRAIL: Transferable Robust Adversarial Images via Latent diffusion

Yuhao Xue, Zhifei Zhang, Xinyang Jiang +6

Adversarial attacks exploiting unrestricted natural perturbations present severe security risks to deep learning systems, yet their transferability across models remains limited du…