Trending Research
F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching
SWivid/F5-TTS
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This sampling strategy for flow step can be easily applied to existing flow matching based models without retraining.
Pyramidal Flow Matching for Efficient Video Generative Modeling
Video generation requires modeling a vast spatiotemporal space, which demands significant computational resources and data usage.
Diffusion for World Modeling: Visual Details Matter in Atari
Motivated by this paradigm shift, we introduce DIAMOND (DIffusion As a Model Of eNvironment Dreams), a reinforcement learning agent trained in a diffusion world model.
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
sihyun-yu/REPA
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Recent studies have shown that the denoising process in (generative) diffusion models can induce meaningful (discriminative) representations inside the model, though the quality of these representations still lags behind those learned through recent self-supervised learning methods.
Ranked #1 on
Image Generation
on ImageNet 256x256
LightRAG: Simple and Fast Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) systems enhance large language models (LLMs) by integrating external knowledge sources, enabling more accurate and contextually relevant responses tailored to user needs.
Baichuan-Omni Technical Report
The salient multimodal capabilities and interactive experience of GPT-4o highlight its critical role in practical applications, yet it lacks a high-performing open-source counterpart.
Aria: An Open Multimodal Native Mixture-of-Experts Model
rhymes-ai/aria
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Information comes in diverse modalities.
MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
We introduce MLE-bench, a benchmark for measuring how well AI agents perform at machine learning engineering.
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
We present a foundation model for zero-shot metric monocular depth estimation.
Generalizable and Animatable Gaussian Head Avatar
xg-chu/gagavatar
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In this paper, we propose Generalizable and Animatable Gaussian head Avatar (GAGAvatar) for one-shot animatable head avatar reconstruction.
