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Found 6 papers, 0 papers with code
My3DGen: A Scalable Personalized 3D Generative Model
Another challenge of personalization is the limited number of training images available for each individual, which often leads to overfitting when using full fine-tuning methods.
INV: Towards Streaming Incremental Neural Videos
Moreover, our discovery of natural information partition leads to a better understanding and manipulation of MLPs.
Learning Dynamic View Synthesis With Few RGBD Cameras
Experiments on the HTI dataset show that our method outperforms the baseline per-frame image fidelity and spatial-temporal consistency.
Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences
Besides, when the global minimizer is the solution, our algorithm achieves the same accuracy as previous algorithms that have guaranteed global optimality, but our algorithm is applicable to real-time applications.
Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss
In this paper, we introduce a bundle adjustment framework and a super-resolution network to solve the above two problems.
