1 citations · 1 across the 4 of their papers we have counts for
4 papers
Sculpting NeRF Geometry: Human-Preference Fine-Tuning of a 3D-Aware Face GAN
Archer Moore, Mingming Gong, Liam Hodgkinson
Reinforcement learning from human feedback (RLHF) for 3D generation is now established across a number of works, but most existing pipelines optimise explicit surface representatio…
CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer
Ming Gao, YanWu Xu, Yang Zhao +3
In this paper, we propose a novel language-guided 3D arbitrary neural style transfer method (CLIP3Dstyler). We aim at stylizing any 3D scene with an arbitrary style from a text des…
Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering
Dongting Hu, Zhenkai Zhang, Tingbo Hou +3
The rendering scheme in neural radiance field (NeRF) is effective in rendering a pixel by casting a ray into the scene. However, NeRF yields blurred rendering results when the trai…
3D Scene Creation and Rendering via Rough Meshes: A Lighting Transfer Avenue
Bowen Cai, Yujie Li, Yuqin Liang +4
This paper studies how to flexibly integrate reconstructed 3D models into practical 3D modeling pipelines such as 3D scene creation and rendering. Due to the technical difficulty,…