← Search

Boyan Ji

3 accepted papers

2024

PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping

AAAI 2024technical

3D scene stylization refers to transform the appearance of a 3D scene to match a given style image, ensuring that images rendered from different viewpoints exhibit the same style as the given style image, while maintaining the 3D consistency of the stylized scene. Several existing methods have obtai…

Cited by 2SourcePDFScholar
2023

TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning

IJCAI 2023poster

Text-driven 3D style transfer aims at stylizing a scene according to the text and generating arbitrary novel views with consistency. Simply combining image/video style transfer methods and novel view synthesis methods results in flickering when changing viewpoints, while existing 3D style transfer m…

Cited by 16SourcePDFScholar
2023

VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs

IJCAI 2023poster

Neural Radiance Fields (NeRF) has shown great success in novel view synthesis due to its state-of-the-art quality and flexibility. However, NeRF requires dense input views (tens to hundreds) and a long training time (hours to days) for a single scene to generate high-fidelity images. Although using…