activity
20132024
most citedGRAF: Generative Radiance Fields for 3D-Aware Image Synthesis

321 citations · 555 across the 36 of their papers we have counts for

collaborators
Showing 2024Show all

9 papers · 1 filter

cs.CV2024

HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving

Hongyu Zhou, Longzhong Lin, Jiabao Wang +6

In the past few decades, autonomous driving algorithms have made significant progress in perception, planning, and control. However, evaluating individual components does not fully…

cs.CV2024

Efficient Depth-Guided Urban View Synthesis

Sheng Miao, Jiaxin Huang, Dongfeng Bai +4

Recent advances in implicit scene representation enable high-fidelity street view novel view synthesis. However, existing methods optimize a neural radiance field for each scene, r…

cs.CV2024

PanopticRecon: Leverage Open-vocabulary Instance Segmentation for Zero-shot Panoptic Reconstruction

Xuan Yu, Yili Liu, Chenrui Han +5

Panoptic reconstruction is a challenging task in 3D scene understanding. However, most existing methods heavily rely on pre-trained semantic segmentation models and known 3D object…

cs.CV2024★ 1 cited

Learning Temporally Consistent Video Depth from Video Diffusion Priors

Jiahao Shao, Yuanbo Yang, Hongyu Zhou +6

This work addresses the challenge of streamed video depth estimation, which expects not only per-frame accuracy but, more importantly, cross-frame consistency. We argue that sharin…

cs.CV2024

NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation

Sicheng Li, Hao Li, Yiyi Liao +1

The emergence of Neural Radiance Fields (NeRF) has greatly impacted 3D scene modeling and novel-view synthesis. As a kind of visual media for 3D scene representation, compression w…

cs.CV2024

Learning 3D-Aware GANs from Unposed Images with Template Feature Field

Xinya Chen, Hanlei Guo, Yanrui Bin +5

Collecting accurate camera poses of training images has been shown to well serve the learning of 3D-aware generative adversarial networks (GANs) yet can be quite expensive in pract…

cs.CV2024★ 2 cited

HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting

Hongyu Zhou, Jiahao Shao, Lu Xu +6

Holistic understanding of urban scenes based on RGB images is a challenging yet important problem. It encompasses understanding both the geometry and appearance to enable novel vie…

cs.CV2024

REFRAME: Reflective Surface Real-Time Rendering for Mobile Devices

Chaojie Ji, Yufeng Li, Yiyi Liao

This work tackles the challenging task of achieving real-time novel view synthesis for reflective surfaces across various scenes. Existing real-time rendering methods, especially t…

cs.CV2024★ 3 cited

Recent Trends in 3D Reconstruction of General Non-Rigid Scenes

Raza Yunus, Jan Eric Lenssen, Michael Niemeyer +7

Reconstructing models of the real world, including 3D geometry, appearance, and motion of real scenes, is essential for computer graphics and computer vision. It enables the synthe…