activity
20222024
most citedF-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories

11 citations · 16 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20241 cited

3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors

Fangzhou Hong, Jiaxiang Tang, Ziang Cao +8

We present a two-stage text-to-3D generation system, namely 3DTopia, which generates high-quality general 3D assets within 5 minutes using hybrid diffusion priors. The first stage…

cs.CV20244 cited

LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation

Jiaxiang Tang, Zhaoxi Chen, Xiaokang Chen +3

3D content creation has achieved significant progress in terms of both quality and speed. Although current feed-forward models can produce 3D objects in seconds, their resolution i…

cs.CV2024

URHand: Universal Relightable Hands

Zhaoxi Chen, Gyeongsik Moon, Kaiwen Guo +20

Existing photorealistic relightable hand models require extensive identity-specific observations in different views, poses, and illuminations, and face challenges in generalizing t…

cs.CV2023

ReliTalk: Relightable Talking Portrait Generation from a Single Video

Haonan Qiu, Zhaoxi Chen, Yuming Jiang +5

Recent years have witnessed great progress in creating vivid audio-driven portraits from monocular videos. However, how to seamlessly adapt the created video avatars to other scena…

cs.CV202311 cited

F-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories

Peng Wang, Yuan Liu, Zhaoxi Chen +5

This paper presents a novel grid-based NeRF called F2-NeRF (Fast-Free-NeRF) for novel view synthesis, which enables arbitrary input camera trajectories and only costs a few minutes…

cs.CV2022

Relighting4D: Neural Relightable Human from Videos

Zhaoxi Chen, Ziwei Liu

Human relighting is a highly desirable yet challenging task. Existing works either require expensive one-light-at-a-time (OLAT) captured data using light stage or cannot freely cha…