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cs.CV2024

NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction

Yifan Wang, Di Huang, Weicai Ye +3

Signed Distance Function (SDF)-based volume rendering has demonstrated significant capabilities in surface reconstruction. Although promising, SDF-based methods often fail to captu…

cs.CV2024

DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild

Weicai Ye, Xinyu Chen, Ruohao Zhan +7

This paper proposes a concise, elegant, and robust pipeline to estimate smooth camera trajectories and obtain dense point clouds for casual videos in the wild. Traditional framewor…

cs.CV2024

DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion

Weicai Ye, Chenhao Ji, Zheng Chen +7

Diffusion-based methods have achieved remarkable achievements in 2D image or 3D object generation, however, the generation of 3D scenes and even images remains constr…

cs.CE2024

AFBench: A Large-scale Benchmark for Airfoil Design

Jian Liu, Jianyu Wu, Hairun Xie +8

Data-driven generative models have emerged as promising approaches towards achieving efficient mechanical inverse design. However, due to prohibitively high cost in time and money,…

cs.CV2024

Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction

Junyi Chen, Di Huang, Weicai Ye +2

Spatial intelligence is the ability of a machine to perceive, reason, and act in three dimensions within space and time. Recent advancements in large-scale auto-regressive models h…

cs.LG2024

FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model

ZiDong Wang, Zeyu Lu, Di Huang +3

\textit{Nature is infinitely resolution-free}. In the context of this reality, existing diffusion models, such as Diffusion Transformers, often face challenges when processing imag…