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4DStyleGaussian: Zero-shot 4D Style Transfer with Gaussian Splatting
Wanlin Liang, Hongbin Xu, Weitao Chen +2
3D neural style transfer has gained significant attention for its potential to provide user-friendly stylization with spatial consistency. However, existing 3D style transfer metho…
ControLRM: Fast and Controllable 3D Generation via Large Reconstruction Model
Hongbin Xu, Weitao Chen, Zhipeng Zhou +4
Despite recent advancements in 3D generation methods, achieving controllability still remains a challenging issue. Current approaches utilizing score-distillation sampling are hind…
RobustMVS: Single Domain Generalized Deep Multi-view Stereo
Hongbin Xu, Weitao Chen, Baigui Sun +2
Despite the impressive performance of Multi-view Stereo (MVS) approaches given plenty of training samples, the performance degradation when generalizing to unseen domains has not b…
StyleDyRF: Zero-shot 4D Style Transfer for Dynamic Neural Radiance Fields
Hongbin Xu, Weitao Chen, Feng Xiao +2
4D style transfer aims at transferring arbitrary visual style to the synthesized novel views of a dynamic 4D scene with varying viewpoints and times. Existing efforts on 3D style t…