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Found 5 papers, 1 papers with code
BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models
Now text-to-image foundation models are widely applied to various downstream image synthesis tasks, such as controllable image generation and image editing, while downstream video synthesis tasks are less explored for several reasons.
Bridging The Gaps Between Token Pruning and Full Pre-training via Masked Fine-tuning
Despite the success of transformers on various computer vision tasks, they suffer from excessive memory and computational cost.
Progressive Visual Prompt Learning with Contrastive Feature Re-formation
To the best of our knowledge, we are the first to demonstrate the superior performance of visual prompts in V-L models to previous prompt-based methods in downstream tasks.
Dynamic MDETR: A Dynamic Multimodal Transformer Decoder for Visual Grounding
The sampling module aims to select these informative patches by predicting the offsets with respect to a reference point, while the decoding module works for extracting the grounded object information by performing cross attention between image features and text features.
End-to-End Dense Video Grounding via Parallel Regression
In this paper, we tackle a new problem of dense video grounding, by simultaneously localizing multiple moments with a paragraph as input.
