3 papers
cs.CV2026
InstanceSplat: Instance-Aware Feed-Forward 3D Gaussian Splatting for Scene Understanding
Minchao Jiang, Xiaoxuan Ma, Shunyu Jia +3
Feed-forward 3D Gaussian Splatting (3DGS) enables efficient and generalizable 3D reconstruction, but current feed-forward 3DGS methods for scene understanding remain largely catego…
cs.CV2025
Electromagnetic Inverse Scattering from a Single Transmitter
Yizhe Cheng, Chunxun Tian, Haoru Wang +3
Electromagnetic Inverse Scattering Problems (EISP) seek to reconstruct relative permittivity from scattered fields and are fundamental to applications like medical imaging. This in…
cs.CV2025
The Less You Depend, The More You Learn: Synthesizing Novel Views from Sparse, Unposed Images with Minimal 3D Knowledge
Haoru Wang, Kai Ye, Minghan Qin +3
Recent advances in feed-forward Novel View Synthesis (NVS) have led to a divergence between two design philosophies: bias-driven methods, which rely on explicit 3D knowledge, such…