3 papers
cs.CV2025
Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields
Zhenxing Mi, Ping Yin, Xue Xiao +1
Recent NeRF methods on large-scale scenes have underlined the importance of scene decomposition for scalable NeRFs. Although achieving reasonable scalability, there are several cri…
cs.LG2025
I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models
Zhenxing Mi, Kuan-Chieh Wang, Guocheng Qian +5
This paper presents ThinkDiff, a novel alignment paradigm that empowers text-to-image diffusion models with multimodal in-context understanding and reasoning capabilities by integr…
cs.CV2024
LeCO-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes
Zhenxing Mi, Dan Xu
In NeRF, a critical problem is to effectively estimate the occupancy to guide empty-space skipping and point sampling. Grid-based methods work well for small-scale scenes. However,…