3 papers
cs.GR2026
RenderFormer++: Scalable and Physics-Informed Feed-Forward Neural Rendering
Huangsheng Du, Haoran Zhu, Youcheng Cai +3
We present RenderFormer++, a scalable and physics-informed feed-forward neural rendering framework for global illumination in mesh scenes. Existing Transformer-based neural renderi…
cs.GR2026
Mesh2GS: White-Box 3DGS Construction via Plenoptic Sampling
Haoran Zhu, Youcheng Cai, Huangsheng Du +2
3D Gaussian Splatting (3DGS) has emerged as a promising method for high-quality, real-time 3D reconstruction. To associate 3DGS with mesh representations, existing methods primaril…
cs.CV2025
GC-ConsFlow: Leveraging Optical Flow Residuals and Global Context for Robust Deepfake Detection
Jiaxin Chen, Miao Hu, Dengyong Zhang +1
The rapid development of Deepfake technology has enabled the generation of highly realistic manipulated videos, posing severe social and ethical challenges. Existing Deepfake detec…