ICLR2025
InstantSplamp: Fast and Generalizable Stenography Framework for Generative Gaussian Splatting
Chenxin Li, Hengyu Liu, Zhiwen Fan, Wuyang Li, Yifan Liu, Panwang Pan, Yixuan Yuan
Abstract
a) Traditional 3D generation requires separate steps for object generation and watermarking, leading to significant time overhead. • (b) Our method, InstantSplamp, unifies 3D generation and watermarking into a single process, maintaining the generation time and reducing watermarking overhead to near-zero, significantly improving efficiency. ➢Experimental Results Results of Watermarking Indomain Objects ➢Framework * During (a) Hidden Information Embedding, InstantSplamp incorporates the DINOv2 features of the hidden information into the intermediate feature of Gaussian generation via cross-attention. * In (b) Hidden Information Recovery, a U-Net-based decoder is employed to retrieve the hidden information from the rendered image under the checking pose. * Through the optimization process, (c) Adaptive Gradient Harmonization is used to maintain a balance between the rendering and hidden recovery.