50 citations · 50 across the 7 of their papers we have counts for
7 papers · 1 filter
InstantSticker: Realistic Decal Blending via Disentangled Object Reconstruction
Yi Zhang, Xiaoyang Huang, Yishun Dou +5
We present InstantSticker, a disentangled reconstruction pipeline based on Image-Based Lighting (IBL), which focuses on highly realistic decal blending, simulates stickers attached…
DualNeRF: Text-Driven 3D Scene Editing via Dual-Field Representation
Yuxuan Xiong, Yue Shi, Yishun Dou +1
Recently, denoising diffusion models have achieved promising results in 2D image generation and editing. Instruct-NeRF2NeRF (IN2N) introduces the success of diffusion into 3D scene…
AU-vMAE: Knowledge-Guide Action Units Detection via Video Masked Autoencoder
Qiaoqiao Jin, Rui Shi, Yishun Dou +1
Current Facial Action Unit (FAU) detection methods generally encounter difficulties due to the scarcity of labeled video training data and the limited number of training face IDs,…
Real-Time Neural BRDF with Spherically Distributed Primitives
Yishun Dou, Zhong Zheng, Qiaoqiao Jin +3
We propose a novel compact and efficient neural BRDF offering highly versatile material representation, yet with very-light memory and neural computation consumption towards achiev…
SieveNet: Selecting Point-Based Features for Mesh Networks
Shengchao Yuan, Yishun Dou, Rui Shi +2
Meshes are widely used in 3D computer vision and graphics, but their irregular topology poses challenges in applying them to existing neural network architectures. Recent advances…
FocalDreamer: Text-driven 3D Editing via Focal-fusion Assembly
Yuhan Li, Yishun Dou, Yue Shi +5
While text-3D editing has made significant strides in leveraging score distillation sampling, emerging approaches still fall short in delivering separable, precise and consistent o…