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Found 5 papers, 2 papers with code
Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization
In a surge of text-to-image (T2I) models and their customization methods that generate new images of a user-provided subject, current works focus on alleviating the costs incurred by a lengthy per-subject optimization.
SAVE: Protagonist Diversification with Structure Agnostic Video Editing
Finally, we decouple the motion from the appearance of the source video with an additional pseudo word.
Towards Efficient Neural Scene Graphs by Learning Consistency Fields
Neural Radiance Fields (NeRF) achieves photo-realistic image rendering from novel views, and the Neural Scene Graphs (NSG) \cite{ost2021neural} extends it to dynamic scenes (video) with multiple objects.
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights
To alleviate this problem, dynamic pruning methods have emerged, which try to find diverse sparsity patterns during training by utilizing Straight-Through-Estimator (STE) to approximate gradients of pruned weights.
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud
In this paper, we propose part-aware data augmentation (PA-AUG) that can better utilize rich information of 3D label to enhance the performance of 3D object detectors.
