198 citations · 379 across the 22 of their papers we have counts for
5 papers · 1 filter
WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation
Jiachen Lu, Ze Huang, Zeyu Yang +2
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 limitation…
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
Zijie Pan, Jiachen Lu, Xiatian Zhu +1
High-resolution 3D object generation remains a challenging task primarily due to the limited availability of comprehensive annotated training data. Recent advancements have aimed t…
SUIT: Learning Significance-guided Information for 3D Temporal Detection
Zheyuan Zhou, Jiachen Lu, Yihan Zeng +2
3D object detection from LiDAR point cloud is of critical importance for autonomous driving and robotics. While sequential point cloud has the potential to enhance 3D perception th…
Generative Semantic Segmentation
Jiaqi Chen, Jiachen Lu, Xiatian Zhu +1
We present Generative Semantic Segmentation (GSS), a generative learning approach for semantic segmentation. Uniquely, we cast semantic segmentation as an image-conditioned mask ge…
SeaFormer++: Squeeze-enhanced Axial Transformer for Mobile Visual Recognition
Qiang Wan, Zilong Huang, Jiachen Lu +2
Since the introduction of Vision Transformers, the landscape of many computer vision tasks (e.g., semantic segmentation), which has been overwhelmingly dominated by CNNs, recently…