6 papers
FLaTEC: Frequency-Disentangled Latent Triplanes for Efficient Compression of LiDAR Point Clouds
Xiaoge Zhang, Zijie Wu, Mingtao Feng +4
Point cloud compression methods jointly optimize bitrates and reconstruction distortion. However, balancing compression ratio and reconstruction quality is difficult because low-fr…
DiffCom: Decoupled Sparse Priors Guided Diffusion Compression for Point Clouds
Xiaoge Zhang, Zijie Wu, Mehwish Nasim +3
Lossy compression relies on an autoencoder to transform a point cloud into latent points for storage, leaving the inherent redundancy of latent representations unexplored. To reduc…
Learning Coherent Matrixized Representation in Latent Space for Volumetric 4D Generation
Qitong Yang, Mingtao Feng, Zijie Wu +4
Directly learning to model 4D content, including shape, color, and motion, is challenging. Existing methods rely on pose priors for motion control, resulting in limited motion dive…
Multiview Point Cloud Registration Based on Minimum Potential Energy for Free-Form Blade Measurement
Zijie Wu, Yaonan Wang, Yang Mo +5
Point cloud registration is an essential step for free-form blade reconstruction in industrial measurement. Nonetheless, measuring defects of the 3D acquisition system unavoidably…
Referring Human Pose and Mask Estimation in the Wild
Bo Miao, Mingtao Feng, Zijie Wu +3
We introduce Referring Human Pose and Mask Estimation (R-HPM) in the wild, where either a text or positional prompt specifies the person of interest in an image. This new task hold…
External Knowledge Enhanced 3D Scene Generation from Sketch
Zijie Wu, Mingtao Feng, Yaonan Wang +4
Generating realistic 3D scenes is challenging due to the complexity of room layouts and object geometries.We propose a sketch based knowledge enhanced diffusion architecture (SEK)…