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Found 4 papers, 1 papers with code
Effective Real Image Editing with Accelerated Iterative Diffusion Inversion
Despite all recent progress, it is still challenging to edit and manipulate natural images with modern generative models.
HollowNeRF: Pruning Hashgrid-Based NeRFs with Trainable Collision Mitigation
By exploiting the sparsity in the 3D scene to redistribute hash collisions, HollowNeRF improves rendering quality while using a fraction of the parameters of comparable state-of-the-art solutions, leading to a better cost-accuracy trade-off.
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection
For video content creation and understanding, the shot boundary detection (SBD) is one of the most essential components in various scenarios.
Ranked #1 on
Camera shot boundary detection
on ClipShots
Partial Weight Adaptation for Robust DNN Inference
Mainstream video analytics uses a pre-trained DNN model with an assumption that inference input and training data follow the same probability distribution.
