2 citations · 3 across the 5 of their papers we have counts for
7 papers
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…
EditVerse3D: High-Quality 3D Object Editing with Region-Aware Learning
Youtan Yin, Yanning Zhou, Jiacheng Wei +6
Local editing of 3D objects remains a long-standing challenge. When interacting with 3D content, humans naturally tend to specify a coarse region of interest for modification rathe…
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…
CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics
Yiren Song, Xuning Shao, Kang Chen +3
Considerable progress has recently been made in leveraging CLIP (Contrastive Language-Image Pre-Training) models for text-guided image manipulation. However, all existing works rel…
LookinGood^π: Real-time Person-independent Neural Re-rendering for High-quality Human Performance Capture
Xiqi Yang, Kewei Yang, Kang Chen +2
We propose LookinGood^π, a novel neural re-rendering approach that is aimed to (1) improve the rendering quality of the low-quality reconstructed results from human performance cap…