22 citations · 78 across the 14 of their papers we have counts for
13 papers · 1 filter
NeuMesh++: Towards Versatile and Efficient Volumetric Editing with Disentangled Neural Mesh-based Implicit Field
Chong Bao, Yuan Li, Bangbang Yang +5
Recently neural implicit rendering techniques have evolved rapidly and demonstrated significant advantages in novel view synthesis and 3D scene reconstruction. However, existing ne…
InstaScene: Towards Complete 3D Instance Decomposition and Reconstruction from Cluttered Scenes
Zesong Yang, Bangbang Yang, Wenqi Dong +5
Humans can naturally identify and mentally complete occluded objects in cluttered environments. However, imparting similar cognitive ability to robotics remains challenging even wi…
GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image
Chong Bao, Yinda Zhang, Yuan Li +6
Recently, we have witnessed the explosive growth of various volumetric representations in modeling animatable head avatars. However, due to the diversity of frameworks, there is no…
DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation
Bangbang Yang, Wenqi Dong, Lin Ma +4
Diffusion-based methods have achieved prominent success in generating 2D media. However, accomplishing similar proficiencies for scene-level mesh texturing in 3D spatial applicatio…
Graph-based Asynchronous Event Processing for Rapid Object Recognition
Yijin Li, Han Zhou, Bangbang Yang +4
Different from traditional video cameras, event cameras capture asynchronous events stream in which each event encodes pixel location, trigger time, and the polarity of the brightn…
Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields
Wenbo Hu, Yuling Wang, Lin Ma +4
Despite the tremendous progress in neural radiance fields (NeRF), we still face a dilemma of the trade-off between quality and efficiency, e.g., MipNeRF presents fine-detailed and…
SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field
Chong Bao, Yinda Zhang, Bangbang Yang +5
Despite the great success in 2D editing using user-friendly tools, such as Photoshop, semantic strokes, or even text prompts, similar capabilities in 3D areas are still limited, ei…
NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing
Bangbang Yang, Chong Bao, Junyi Zeng +4
Very recently neural implicit rendering techniques have been rapidly evolved and shown great advantages in novel view synthesis and 3D scene reconstruction. However, existing neura…
Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation
Boming Zhao, Bangbang Yang, Zhenyang Li +6
Expanding an existing tourist photo from a partially captured scene to a full scene is one of the desired experiences for photography applications. Although photo extrapolation has…
Neural Rendering in a Room: Amodal 3D Understanding and Free-Viewpoint Rendering for the Closed Scene Composed of Pre-Captured Objects
Bangbang Yang, Yinda Zhang, Yijin Li +4
We, as human beings, can understand and picture a familiar scene from arbitrary viewpoints given a single image, whereas this is still a grand challenge for computers. We hereby pr…
LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies
Sandro Lombardi, Bangbang Yang, Tianxing Fan +4
3D representation and reconstruction of human bodies have been studied for a long time in computer vision. Traditional methods rely mostly on parametric statistical linear models,…
Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering
Bangbang Yang, Yinda Zhang, Yinghao Xu +5
Implicit neural rendering techniques have shown promising results for novel view synthesis. However, existing methods usually encode the entire scene as a whole, which is generally…
VS-Net: Voting with Segmentation for Visual Localization
Zhaoyang Huang, Han Zhou, Yijin Li +6
Visual localization is of great importance in robotics and computer vision. Recently, scene coordinate regression based methods have shown good performance in visual localization i…