activity
20232026
most citedWeakly Supervised 3D Open-vocabulary Segmentation

8 citations · 17 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Multics: Generative Multi-Player World Model with Hierarchical Communication

Kaiyi Huang, Wangbo Yu, Yukun Huang +6

Multi-player interactive world models aim to simulate shared environments from multiple players' perspectives, but achieving robust generation while scaling to more players remains…

cs.CV2026

WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory

Wangbo Yu, Kunhao Liu, Wenbo Hu +8

Video world models enable interactive exploration of dynamic environments, yet struggle to respect prior observations over long horizons and across viewpoints. We present WorldCraf…

cs.CV2025

Rolling Forcing: Autoregressive Long Video Diffusion in Real Time

Kunhao Liu, Wenbo Hu, Jiale Xu +2

Streaming video generation, as one fundamental component in interactive world models and neural game engines, aims to generate high-quality, low-latency, and temporally coherent lo…

cs.CV2025

Advances in Feed-Forward 3D Reconstruction and View Synthesis: A Survey

Jiahui Zhang, Yuelei Li, Anpei Chen +15

3D reconstruction and view synthesis are foundational problems in computer vision, graphics, and immersive technologies such as augmented reality (AR), virtual reality (VR), and di…

cs.CV2024★ 1 cited

Novel View Extrapolation with Video Diffusion Priors

Kunhao Liu, Ling Shao, Shijian Lu

The field of novel view synthesis has made significant strides thanks to the development of radiance field methods. However, most radiance field techniques are far better at novel…

cs.CV2024

StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting

Kunhao Liu, Fangneng Zhan, Muyu Xu +3

We introduce StyleGaussian, a novel 3D style transfer technique that allows instant transfer of any image's style to a 3D scene at 10 frames per second (fps). Leveraging 3D Gaussia…

cs.CV2024

DivAvatar: Diverse 3D Avatar Generation with a Single Prompt

Weijing Tao, Biwen Lei, Kunhao Liu +4

Text-to-Avatar generation has recently made significant strides due to advancements in diffusion models. However, most existing work remains constrained by limited diversity, produ…

cs.CV2023★ 5 cited

AI-Generated Images as Data Source: The Dawn of Synthetic Era

Zuhao Yang, Fangneng Zhan, Kunhao Liu +2

The advancement of visual intelligence is intrinsically tethered to the availability of large-scale data. In parallel, generative Artificial Intelligence (AI) has unlocked the pote…

cs.CV2023

Pose-Free Neural Radiance Fields via Implicit Pose Regularization

Jiahui Zhang, Fangneng Zhan, Yingchen Yu +5

Pose-free neural radiance fields (NeRF) aim to train NeRF with unposed multi-view images and it has achieved very impressive success in recent years. Most existing works share the…

cs.CV2023★ 8 cited

Weakly Supervised 3D Open-vocabulary Segmentation

Kunhao Liu, Fangneng Zhan, Jiahui Zhang +6

Open-vocabulary segmentation of 3D scenes is a fundamental function of human perception and thus a crucial objective in computer vision research. However, this task is heavily impe…

cs.CV2023★ 3 cited

StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields

Kunhao Liu, Fangneng Zhan, Yiwen Chen +5

3D style transfer aims to render stylized novel views of a 3D scene with multi-view consistency. However, most existing work suffers from a three-way dilemma over accurate geometry…