The fundamental cause of the severe noise in Lumina (SeedVR2, etc.) and HunYuan-DiT architectures during USDU upscaling was a mismatch between the concatenated text encoder output tensors from ComfyUI ...
Abstract: Urdu text recognition is challenging due to its cursive nature, complex ligatures, variable diacritics, and diverse writing styles. Existing methods often target either printed or ...
We are a weekly podcast and newsletter made to deliver quick and relevant AI Engineering news in just under 4 minutes. We are a weekly podcast and newsletter made to deliver quick and relevant AI ...
Abstract: Effective modeling of human behavior is crucial for the safe and reliable coexistence of humans and autonomous vehicles. Traditional deep learning methods have limitations in capturing the ...
Our method can naturally work on single-prompt longer video generation by setting sequential multi-prompts as the same. This shows that our method can enhance the consistency of single prompt in long ...
The ECO-SAM utilizes a pre-trained BERT encoder to obtain semantic embedding of input texts and then leverages a self-attention mechanism to model the semantic correlation between emotions.
Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...
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