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DGH: Dynamic Gaussian Hair
Junying Wang, Yuanlu Xu, Edith Tretschk +5
The creation of photorealistic dynamic hair remains a major challenge in digital human modeling because of the complex motions, occlusions, and light scattering. Existing methods o…
Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization
Junying Wang, Jingyuan Liu, Xin Sun +9
This paper introduces Comprehensive Relighting, the first all-in-one approach that can both control and harmonize the lighting from an image or video of humans with arbitrary body…
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization
Cho-Ying Wu, Yiqi Zhong, Junying Wang +1
Indoor robots rely on depth to perform tasks like navigation or obstacle detection, and single-image depth estimation is widely used to assist perception. Most indoor single-image…
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction
Cho-Ying Wu, Yiqi Zhong, Junying Wang +1
Model generalizability to unseen datasets, concerned with in-the-wild robustness, is less studied for indoor single-image depth prediction. We leverage gradient-based meta-learning…