6 citations · 24 across the 20 of their papers we have counts for
11 papers · 1 filter
VerseCrafter: Dynamic Realistic Video World Model with 4D Geometric Control
Sixiao Zheng, Minghao Yin, Wenbo Hu +3
Video world models aim to simulate dynamic, real-world environments, yet existing methods struggle to provide unified and precise control over camera and multi-object motion, as vi…
Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?
Junhao Cheng, Yuying Ge, Teng Wang +3
Recent advances in CoT reasoning and RL post-training have been reported to enhance video reasoning capabilities of MLLMs. This progress naturally raises a question: can these mode…
NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images
Lingen Li, Zhaoyang Zhang, Yaowei Li +7
Recent advancements in generative models have significantly improved novel view synthesis (NVS) from multi-view data. However, existing methods depend on external multi-view alignm…
NovelGS: Consistent Novel-view Denoising via Large Gaussian Reconstruction Model
Jinpeng Liu, Jiale Xu, Weihao Cheng +4
We introduce NovelGS, a diffusion model for Gaussian Splatting (GS) given sparse-view images. Recent works leverage feed-forward networks to generate pixel-aligned Gaussians, which…
DOGR: Towards Versatile Visual Document Grounding and Referring
Yinan Zhou, Yuxin Chen, Haokun Lin +6
With recent advances in Multimodal Large Language Models (MLLMs), grounding and referring capabilities have gained increasing attention for achieving detailed understanding and fle…
ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis
Wangbo Yu, Jinbo Xing, Li Yuan +7
Despite recent advancements in neural 3D reconstruction, the dependence on dense multi-view captures restricts their broader applicability. In this work, we propose \textbf{ViewCra…