Author

Kun-Ming Luo

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Preprint Oct 2026

DistScene: Object-to-Scene Distillation for 3D Scene Generation

We present DistScene, a framework for single-image compositional 3D scene generation by jointly modeling the environment and individual objects. Unlike existing methods that represent scenes primarily as collections of objects, we model the environment as an explicit scene component to provide geometric context for obj...

Kun-Ming Luo, Hong-Yu Yan, Ken Deng et al. · 0 citations

Preprint Aug 2026

Group-Shared Low-Rank Approximation for Mobile-Efficient Pointwise Convolutions in Large-Kernel CNNs

Channel Group-Shared (CGS) low-rank approximation, a novel Singular Value Decomposition (SVD)-based parameter-sharing strategy, enables the feasible deployment of pre-trained large-kernel CNN models on edge devices, thereby bridging the gap between high-performance vision models and practical edge deployment.

Hao Luo, Yi-Ting Yang, Wen-Yi Zhao et al. · 0 citations

Preprint Aug 2026

SpatialCrafter: Single Image World Modeling with Generative 3D Proxies

SpatialCrafter is presented, a novel two-stage framework that addresses explorable image-to-scene generation issues by introducing a global 3D proxy for high-fidelity image-to-scene generation and appearance refinement and introduces Parallel Geometry Injection and Proxy-Aware Corruption training strategies.

Chuan Fang, Lingteng Qiu, Yixun Liang et al. · 1 citation