Code on selecting an action based on multimodal inputs. Here in this case inputs are voice and text.
-
Updated
Jun 7, 2021 - Python
Code on selecting an action based on multimodal inputs. Here in this case inputs are voice and text.
Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion
A lightweight PyTorch implementation of the Transformer-XL architecture proposed by Dai et al. (2019)
[ITSC-2023] HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection
Segment-Like-Me: 1-shot image segmentation using Stable Diffusion
Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind
3D Human-Object Interaction in Video A New Approach to Object Tracking via Cross-Modal Attention
1-shot image segmentation using Stable Diffusion
This model synthesises high-fidelity fashion videos from single images featuring spontaneous and believable movements.
Clickbait detection using custom cross attention transformer model
The official repository of "Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models".
[ISMB 2024] Official PyTorch Code for "PhiHER2: Phenotype-informed weakly supervised model for HER2 status prediction from WSIs"
TGRS: Code for "Unsupervised Hybrid Network of Transformer and CNN for Blind Hyperspectral and RGB Image Fusion"
Tensorflow implementation of 'Robust Image Watermarking based on Cross-Attention and Invariant Domain Learning'
🚀 Cross attention map tools for huggingface/diffusers
Transcription factor binding site prediction for novel DNA sequence data aiding in mutation identification and drug discovery
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
T-GATE: Temporally Gating Attention to Accelerate Diffusion Model for Free!
Pure C 3D Hybrid GAN using Cross attention, attention and convolution
Add a description, image, and links to the cross-attention topic page so that developers can more easily learn about it.
To associate your repository with the cross-attention topic, visit your repo's landing page and select "manage topics."