7 papers · 1 filter
Alignment Is All You Need For X-to-4D Generation
Qiaowei Miao, Kehan Li, Yawei Luo +1
Generative diffusion models excel at synthesizing high-quality images, videos, and 3D content under multimodal control. However, arbitrary user-defined modality-to-4D (X-to-4D) gen…
EAGLE-360: Embodied Active Global-to-Local Exploration in 360
Jingtao Xu, Zizhuo Lin, Jianwen Sun +2
While Multimodal Large Language Models (MLLMs) have demonstrated exceptional capabilities in standard visual understanding, adapting them for active visual search in 360 pa…
Advances in 4D Generation: A Survey
Qiaowei Miao, Kehan Li, Jinsheng Quan +6
Generative artificial intelligence has recently progressed from static image and video synthesis to 3D content generation, culminating in the emergence of 4D generation-the task of…
MaGS: Reconstructing and Simulating Dynamic 3D Objects with Mesh-adsorbed Gaussian Splatting
Shaojie Ma, Yawei Luo, Wei Yang +1
3D reconstruction and simulation, although interrelated, have distinct objectives: reconstruction requires a flexible 3D representation that can adapt to diverse scenes, while simu…
PLA4D: Pixel-Level Alignments for Text-to-4D Gaussian Splatting
Qiaowei Miao, JinSheng Quan, Kehan Li +1
Previous text-to-4D methods have leveraged multiple Score Distillation Sampling (SDS) techniques, combining motion priors from video-based diffusion models (DMs) with geometric pri…
Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis
Zhiyuan Min, Yawei Luo, Jianwen Sun +1
Generalizable 3D Gaussian splitting (3DGS) can reconstruct new scenes from sparse-view observations in a feed-forward inference manner, eliminating the need for scene-specific retr…