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Found 7 papers, 0 papers with code
FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields
To do so, we first train a scene manipulator, a latent code-conditional deformable NeRF, over a dynamic scene to control a face deformation using the latent code.
Local 3D Editing via 3D Distillation of CLIP Knowledge
Specifically, we present three add-on modules of LENeRF, the Latent Residual Mapper, the Attention Field Network, and the Deformation Network, which are jointly used for local manipulations of 3D features by estimating a 3D attention field.
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
Time series forecasting has become a critical task due to its high practicality in real-world applications such as traffic, energy consumption, economics and finance, and disease analysis.
Residual Correction in Real-Time Traffic Forecasting
Extensive experiments on METR-LA and PEMS-BAY demonstrate that our ResCAL can correctly capture the correlation of errors and correct the failures of various traffic forecasting models in event situations.
Mining Multi-Label Samples from Single Positive Labels
Therefore, in this study we explore the practical setting called the single positive setting, where each data instance is annotated by only one positive label with no explicit negative labels.
Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction
While the existing cycle-consistency loss ensures that the image can be translated back, our approach makes the model further preserve the attribute-irrelevant regions even in a single translation to another domain by using the Grad-CAM output computed from the discriminator.
Waste not, Want not: All-Alive Pruning for Extremely Sparse Networks
We demonstrate that AAP equipped with existing pruning methods (i. e., iterative pruning, one-shot pruning, and dynamic pruning) consistently improves the accuracy of original methods at 128× - 4096× compression ratios on three benchmark datasets.
