1 citations · 2 across the 8 of their papers we have counts for
10 papers
Glob3R: Global Structure-from-Motion with 3D Foundation Models
Junyuan Deng, Heng Li, Kejie Qiu +7
Recent 3D geometric foundation models, such as VGGT, provide robust feed-forward 3D reconstruction by directly predicting camera poses and 3D scene points from input images. Howeve…
Large Depth Completion Model from Sparse Observations
Zhu Yu, Zhengyi Zhao, Runmin Zhang +7
This work presents the Large Depth Completion Model (LDCM), a simple, effective, and robust framework for single-view metric depth estimation with sparse observations. Without rely…
Towards Consistent Video Geometry Estimation
Zhu Yu, Jingnan Gao, Runmin Zhang +9
This work presents ViGeo, a feed-forward foundation model for recovering spatially dense and temporally consistent geometry from video sequences. Built upon a plain transformer arc…
The Thinking Pixel: Recursive Sparse Reasoning in Multimodal Diffusion Latents
Yuwei Sun, Yuxuan Yao, Hui Li +1
Diffusion models have achieved success in high-fidelity data synthesis, yet their capacity for more complex, structured reasoning like text following tasks remains constrained. Whi…
OmniMotion: Multimodal Motion Generation with Continuous Masked Autoregression
Zhe Li, Weihao Yuan, Weichao Shen +3
Whole-body multi-modal human motion generation poses two primary challenges: creating an effective motion generation mechanism and integrating various modalities, such as text, spe…
Forge4D: Feed-Forward 4D Human Reconstruction and Interpolation from Uncalibrated Sparse-view Videos
Yingdong Hu, Yisheng He, Jinnan Chen +7
Instant reconstruction of dynamic 3D humans from uncalibrated sparse-view videos is critical for numerous downstream applications. Existing methods, however, are either limited by…