Trending Research
MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions
modelscope/ClearerVoice-Studio
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To effectively solve the indirect elemental interactions across chunks in the dual-path architecture, MossFormer employs a joint local and global self-attention architecture that simultaneously performs a full-computation self-attention on local chunks and a linearised low-cost self-attention over the full sequence.
Ranked #1 on
Speech Separation
on WSJ0-2mix-16k
(using extra training data)
StableAnimator: High-Quality Identity-Preserving Human Image Animation
Francis-Rings/StableAnimator
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During inference, we propose a novel Hamilton-Jacobi-Bellman (HJB) equation-based optimization to further enhance the face quality.
SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints
Recent advancements in video diffusion models have shown exceptional abilities in simulating real-world dynamics and maintaining 3D consistency.
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods
Finally, we provide a detailed analysis of the limitations of LLM judges and discuss potential future directions.
HunyuanVideo: A Systematic Framework For Large Video Generative Models
In this report, we introduce HunyuanVideo, an innovative open-source video foundation model that demonstrates performance in video generation comparable to, or even surpassing, that of leading closed-source models.
OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations
Document content extraction is crucial in computer vision, especially for meeting the high-quality data needs of large language models (LLMs) and retrieval-augmented generation (RAG) technologies.
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
microsoft/torchgeo
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NeurIPS 2023
The Landsat program is the longest-running Earth observation program in history, with 50+ years of data acquisition by 8 satellites.
Towards Controllable Speech Synthesis in the Era of Large Language Models: A Survey
In this paper, we conduct a comprehensive survey of controllable TTS, covering approaches ranging from basic control techniques to methods utilizing natural language prompts, aiming to provide a clear understanding of the current state of research.
Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
We present Infinity, a Bitwise Visual AutoRegressive Modeling capable of generating high-resolution, photorealistic images following language instruction.
o1-Coder: an o1 Replication for Coding
The technical report introduces O1-CODER, an attempt to replicate OpenAI's o1 model with a focus on coding tasks.
