activity
20212025
most citedLetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian Primitives

40 citations · 56 across the 10 of their papers we have counts for

collaborators

12 papers

cs.CV2025

FlexAvatar: Flexible Large Reconstruction Model for Animatable Gaussian Head Avatars with Detailed Deformation

Cheng Peng, Zhuo Su, Liao Wang +7

We present FlexAvatar, a flexible large reconstruction model for high-fidelity 3D head avatars with detailed dynamic deformation from single or sparse images, without requiring cam…

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.CV2025

MotionAgent: Fine-grained Controllable Video Generation via Motion Field Agent

Xinyao Liao, Xianfang Zeng, Liao Wang +3

We propose MotionAgent, enabling fine-grained motion control for text-guided image-to-video generation. The key technique is the motion field agent that converts motion information…

cs.CV2024★ 1 cited

V^3: Viewing Volumetric Videos on Mobiles via Streamable 2D Dynamic Gaussians

Penghao Wang, Zhirui Zhang, Liao Wang +5

Experiencing high-fidelity volumetric video as seamlessly as 2D videos is a long-held dream. However, current dynamic 3DGS methods, despite their high rendering quality, face chall…

cs.CV2024★ 40 cited

LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian Primitives

Jiadi Cui, Junming Cao, Fuqiang Zhao +7

Large garages are ubiquitous yet intricate scenes that present unique challenges due to their monotonous colors, repetitive patterns, reflective surfaces, and transparent vehicle g…

cs.CV2023

VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams

Liao Wang, Kaixin Yao, Chengcheng Guo +5

Neural Radiance Fields (NeRFs) excel in photorealistically rendering static scenes. However, rendering dynamic, long-duration radiance fields on ubiquitous devices remains challeng…

cs.CV2023

Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos

Liao Wang, Qiang Hu, Qihan He +5

The success of the Neural Radiance Fields (NeRFs) for modeling and free-view rendering static objects has inspired numerous attempts on dynamic scenes. Current techniques that util…

cs.GR2022★ 3 cited

Human Performance Modeling and Rendering via Neural Animated Mesh

Fuqiang Zhao, Yuheng Jiang, Kaixin Yao +8

We have recently seen tremendous progress in the neural advances for photo-real human modeling and rendering. However, it's still challenging to integrate them into an existing mes…

cs.CV2022★ 4 cited

Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time

Liao Wang, Jiakai Zhang, Xinhang Liu +6

Implicit neural representations such as Neural Radiance Field (NeRF) have focused mainly on modeling static objects captured under multi-view settings where real-time rendering can…

cs.CV2022★ 5 cited

NeuVV: Neural Volumetric Videos with Immersive Rendering and Editing

Jiakai Zhang, Liao Wang, Xinhang Liu +7

Some of the most exciting experiences that Metaverse promises to offer, for instance, live interactions with virtual characters in virtual environments, require real-time photo-rea…

cs.CV2021★ 1 cited

iButter: Neural Interactive Bullet Time Generator for Human Free-viewpoint Rendering

Liao Wang, Ziyu Wang, Pei Lin +5

Generating ``bullet-time'' effects of human free-viewpoint videos is critical for immersive visual effects and VR/AR experience. Recent neural advances still lack the controllable…

cs.CV2021★ 2 cited

MirrorNeRF: One-shot Neural Portrait Radiance Field from Multi-mirror Catadioptric Imaging

Ziyu Wang, Liao Wang, Fuqiang Zhao +3

Photo-realistic neural reconstruction and rendering of the human portrait are critical for numerous VR/AR applications. Still, existing solutions inherently rely on multi-view capt…