3 citations · 7 across the 8 of their papers we have counts for
15 papers
Lite2Relight: 3D-aware Single Image Portrait Relighting
Pramod Rao, Gereon Fox, Abhimitra Meka +8
Achieving photorealistic 3D view synthesis and relighting of human portraits is pivotal for advancing AR/VR applications. Existing methodologies in portrait relighting demonstrate…
MixLight: Borrowing the Best of both Spherical Harmonics and Gaussian Models
Xinlong Ji, Fangneng Zhan, Shijian Lu +2
Accurately estimating scene lighting is critical for applications such as mixed reality. Existing works estimate illumination by generating illumination maps or regressing illumina…
FreGS: 3D Gaussian Splatting with Progressive Frequency Regularization
Jiahui Zhang, Fangneng Zhan, Muyu Xu +2
3D Gaussian splatting has achieved very impressive performance in real-time novel view synthesis. However, it often suffers from over-reconstruction during Gaussian densification w…
StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting
Kunhao Liu, Fangneng Zhan, Muyu Xu +3
We introduce StyleGaussian, a novel 3D style transfer technique that allows instant transfer of any image's style to a 3D scene at 10 frames per second (fps). Leveraging 3D Gaussia…
AI-Generated Images as Data Source: The Dawn of Synthetic Era
Zuhao Yang, Fangneng Zhan, Kunhao Liu +2
The advancement of visual intelligence is intrinsically tethered to the availability of large-scale data. In parallel, generative Artificial Intelligence (AI) has unlocked the pote…
Pose-Free Neural Radiance Fields via Implicit Pose Regularization
Jiahui Zhang, Fangneng Zhan, Yingchen Yu +5
Pose-free neural radiance fields (NeRF) aim to train NeRF with unposed multi-view images and it has achieved very impressive success in recent years. Most existing works share the…