activity
20232026
most citedVQ-NeRF: Vector Quantization Enhances Implicit Neural Representations

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens

Yiying Yang, Wei Cheng, Sijin Chen +5

OmniLottie is a versatile framework that generates high quality vector animations from multi-modal instructions. For flexible motion and visual content control, we focus on Lottie,…

cs.CV2026

ShareVerse: Multi-Agent Consistent Video Generation for Shared World Modeling

Jiayi Zhu, Jianing Zhang, Yiying Yang +2

This paper presents ShareVerse, a video generation framework enabling multi-agent shared world modeling, addressing the gap in existing works that lack support for unified shared w…

cs.CV2025

StyleMe3D: Stylization with Disentangled Priors by Multiple Encoders on 3D Gaussians

Cailin Zhuang, Yaoqi Hu, Xuanyang Zhang +7

Current 3D Gaussian Splatting stylization approaches are limited in their ability to represent diverse artistic styles, frequently defaulting to low-level texture replacement or yi…

cs.CV2025

OmniSVG: A Unified Scalable Vector Graphics Generation Model

Yiying Yang, Wei Cheng, Sijin Chen +7

Scalable Vector Graphics (SVG) is an important image format widely adopted in graphic design because of their resolution independence and editability. The study of generating high-…

cs.CV2024

Scene123: One Prompt to 3D Scene Generation via Video-Assisted and Consistency-Enhanced MAE

Yiying Yang, Fukun Yin, Jiayuan Fan +3

As Artificial Intelligence Generated Content (AIGC) advances, a variety of methods have been developed to generate text, images, videos, and 3D objects from single or multimodal in…

cs.CV2023★ 1 cited

VQ-NeRF: Vector Quantization Enhances Implicit Neural Representations

Yiying Yang, Wen Liu, Fukun Yin +4

Recent advancements in implicit neural representations have contributed to high-fidelity surface reconstruction and photorealistic novel view synthesis. However, the computational…