2 citations · 4 across the 7 of their papers we have counts for
7 papers
Unified Camera Positional Encoding for Controlled Video Generation
Cheng Zhang, Boying Li, Meng Wei +4
Transformers have emerged as a universal backbone across 3D perception, video generation, and world models for autonomous driving and embodied AI, where understanding camera geomet…
PanFlow: Decoupled Motion Control for Panoramic Video Generation
Cheng Zhang, Hanwen Liang, Donny Y. Chen +4
Panoramic video generation has attracted growing attention due to its applications in virtual reality and immersive media. However, existing methods lack explicit motion control an…
Panorama Generation From NFoV Image Done Right
Dian Zheng, Cheng Zhang, Xiao-Ming Wu +4
Generating 360-degree panoramas from narrow field of view (NFoV) image is a promising computer vision task for Virtual Reality (VR) applications. Existing methods mostly assess the…
PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting
Cheng Zhang, Haofei Xu, Qianyi Wu +3
With the advent of portable 360° cameras, panorama has gained significant attention in applications like virtual reality (VR), virtual tours, robotics, and autonomous driving. As a…
Taming Stable Diffusion for Text to 360° Panorama Image Generation
Cheng Zhang, Qianyi Wu, Camilo Cruz Gambardella +4
Generative models, e.g., Stable Diffusion, have enabled the creation of photorealistic images from text prompts. Yet, the generation of 360-degree panorama images from text remains…
DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization
Cheng Zhang, Zhaopeng Cui, Cai Chen +4
Panorama images have a much larger field-of-view thus naturally encode enriched scene context information compared to standard perspective images, which however is not well exploit…
Holistic 3D Scene Understanding from a Single Image with Implicit Representation
Cheng Zhang, Zhaopeng Cui, Yinda Zhang +3
We present a new pipeline for holistic 3D scene understanding from a single image, which could predict object shapes, object poses, and scene layout. As it is a highly ill-posed pr…