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Haosong Peng

2 accepted papers

2026

OmniVGGT: Omni-Modality Driven Visual Geometry Grounded Transformer

CVPR 2026

General 3D foundation models have started to lead the trend of unifying diverse vision tasks, yet most assume RGB-only inputs and ignore readily available geometric cues (e.g., camera intrinsics, poses, and depth maps). To address this issue, we introduce OmniVGGT, a novel framework that can effecti

Cited by 0SourcecodeScholar
2025

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes

ICRA 2025

Novel-view synthesis approaches play a critical role in vast scene reconstruction. However, these methods rely heavily on dense image inputs and prolonged training times, making them unsuitable where computational resources are limited. Additionally, few-shot methods often struggle with poor reconst

Cited by 5SourcecodeScholar