6 papers · 1 filter
SceneTransporter: Optimal Transport-Guided Compositional Latent Diffusion for Single-Image Structured 3D Scene Generation
Ling Wang, Hao-Xiang Guo, Xinzhou Wang +9
We introduce SceneTransporter, an end-to-end framework for structured 3D scene generation from a single image. While existing methods generate part-level 3D objects, they often fai…
PanoWorld-X: Generating Explorable Panoramic Worlds via Sphere-Aware Video Diffusion
Yuyang Yin, HaoXiang Guo, Fangfu Liu +7
Generating a complete and explorable 360-degree visual world enables a wide range of downstream applications. While prior works have advanced the field, they remain constrained by…
PanoLora: Bridging Perspective and Panoramic Video Generation with LoRA Adaptation
Zeyu Dong, Yuyang Yin, Yuqi Li +3
Generating high-quality 360° panoramic videos remains a significant challenge due to the fundamental differences between panoramic and traditional perspective-view projections. Whi…
Matrix-3D: Omnidirectional Explorable 3D World Generation
Zhongqi Yang, Wenhang Ge, Yuqi Li +12
Explorable 3D world generation from a single image or text prompt forms a cornerstone of spatial intelligence. Recent works utilize video model to achieve wide-scope and generaliza…
Matrix-game 2.0: An open-source real-time and streaming interactive world model
Xianglong He, Chunli Peng, Zexiang Liu +16
Recent advances in interactive video generations have demonstrated diffusion model's potential as world models by capturing complex physical dynamics and interactive behaviors. How…
An Empirical Study of Attention Networks for Semantic Segmentation
Hao Guo, Hongbiao Si, Guilin Jiang +5
Semantic segmentation is a vital problem in computer vision. Recently, a common solution to semantic segmentation is the end-to-end convolution neural network, which is much more a…