5 citations · 10 across the 8 of their papers we have counts for
9 papers
AVSplat: Dense-View Feed-Forward 3D Gaussian Splatting with Assist-View Preconditioning
Muyu Xu, Fangneng Zhan, Yu Wei +2
Pose-free feed-forward 3D Gaussian Splatting enables novel view synthesis from uncalibrated multi-view images. Although more views should improve performance, existing methods ofte…
Rolling Forcing: Autoregressive Long Video Diffusion in Real Time
Kunhao Liu, Wenbo Hu, Jiale Xu +2
Streaming video generation, as one fundamental component in interactive world models and neural game engines, aims to generate high-quality, low-latency, and temporally coherent lo…
Advances in Feed-Forward 3D Reconstruction and View Synthesis: A Survey
Jiahui Zhang, Yuelei Li, Anpei Chen +15
3D reconstruction and view synthesis are foundational problems in computer vision, graphics, and immersive technologies such as augmented reality (AR), virtual reality (VR), and di…
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…
DivAvatar: Diverse 3D Avatar Generation with a Single Prompt
Weijing Tao, Biwen Lei, Kunhao Liu +4
Text-to-Avatar generation has recently made significant strides due to advancements in diffusion models. However, most existing work remains constrained by limited diversity, produ…
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
Sicong Leng, Hang Zhang, Guanzheng Chen +4
Large Vision-Language Models (LVLMs) have advanced considerably, intertwining visual recognition and language understanding to generate content that is not only coherent but also c…
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…