3 citations · 14 across the 15 of their papers we have counts for
6 papers · 1 filter
Demiurge: Forging Navigable 4D Worlds via Autoregressive Video Rerendering
Hanxin Zhu, Jianqi Ma, Cong Wang +10
Recent advances in video diffusion enable novel-view video synthesis from a single input video, supporting world modeling, embodied intelligence, and robotic simulation. However, e…
MegaAvatar: Controllable Talking Avatar Generation
Junyao Gao, Sibo Liu, Weidong Zhang +2
This report presents \textbf{MegaAvatar}, a controllable talking avatar generation framework built on top of the Wan2.2-TI2V-5B model. Compared with previous talking-avatar methods…
MegaStyle++: Scaling Image Style Space through Hierarchical Style Definition
Junyao Gao, Sibo Liu, Jiaxing Li +4
Image style is a highly abstract, human-constructed concept shaped by a range of visual factors and intrinsically entangled with content, yet a unified and explicit definition of i…
DailyBench: A Unified Benchmark for AI-Generated and Manipulated Images from Modern Generative Models
Xin Jiang, Hao Tang, Junyao Gao +7
Recent advances in generative models have shifted AI-generated image detection from identifying easily distinguishable, fully synthetic images to identifying highly realistic conte…
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…
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…