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Anchor3DGS: Feed-Forward 3D Gaussian Splatting with Compact Anchor-Based Representation
Sheng Ye, Jiangke Lin, Fudong Wang +3
Recent feed-forward 3D Gaussian Splatting (3DGS) methods have enabled effective multi-view 3D reconstruction by predicting Gaussian primitives in a single forward pass. However, ex…
HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation
Conglang Zhang, Yifan Zhan, Qingjie Wang +10
Closed-loop driving simulation requires real-time interaction beyond short offline clips, pushing current driving world models toward autoregressive (AR) rollout. Existing AR disti…
Denoise and Align: Towards Source-Free UDA for Robust Panoramic Semantic Segmentation
Yaowen Chang, Zhen Cao, Xu Zheng +2
Panoramic semantic segmentation is pivotal for comprehensive 360° scene understanding in critical applications like autonomous driving and virtual reality. However, progress in thi…
SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations
Wenhao Yan, Sheng Ye, Zhuoyi Yang +6
Achieving controllable character animation that meets studio-grade standards remains challenging despite recent progress. Existing approaches can transfer motion from a driving vid…
Towards Better Robustness: Pose-Free 3D Gaussian Splatting for Arbitrarily Long Videos
Zhen-Hui Dong, Sheng Ye, Yu-Hui Wen +2
3D Gaussian Splatting (3DGS) has emerged as a powerful representation due to its efficiency and high-fidelity rendering. 3DGS training requires a known camera pose for each input v…
Gaussian in the Dark: Real-Time View Synthesis From Inconsistent Dark Images Using Gaussian Splatting
Sheng Ye, Zhen-Hui Dong, Yubin Hu +2
3D Gaussian Splatting has recently emerged as a powerful representation that can synthesize remarkable novel views using consistent multi-view images as input. However, we notice t…