← Search

Li Zhang*

4 accepted papers

2024

Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving

ECCV 2024poster

"Large vision-language models (VLMs) have garnered increasing interest in autonomous driving areas, due to their advanced capabilities in complex reasoning tasks essential for highly autonomous vehicle behavior. Despite their potential, research in autonomous systems is hindered by the lack of datas…

2024

Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing

ECCV 2024poster

"In this paper, we present a novel differentiable point-based rendering framework to achieve photo-realistic relighting. To make the reconstructed scene relightable, we enhance vanilla 3D Gaussians by associating extra properties, including normal vectors, BRDF parameters, and incident lighting from…

Cited by 133SourcePDFScholar
2024

U-COPE: Taking a Further Step to Universal 9D Category-level Object Pose Estimation

ECCV 2024poster

"Rigid and articulated objects are common in our daily lives. Pose estimation tasks for both types of objects have been extensively studied within their respective domains. However, a universal framework capable of estimating the pose of both rigid and articulated objects has yet to be reported. In…

Cited by 3SourcePDFScholar
2024

WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation

ECCV 2024poster

"Generating multi-camera street-view videos is critical for augmenting autonomous driving datasets, addressing the urgent demand for extensive and varied data. Due to the limitations in diversity and challenges in handling lighting conditions, traditional rendering-based methods are increasingly bei…