Trending Research
UFO: A UI-Focused Agent for Windows OS Interaction
We introduce UFO, an innovative UI-Focused agent to fulfill user requests tailored to applications on Windows OS, harnessing the capabilities of GPT-Vision.
ReFT: Representation Finetuning for Language Models
LoReFT is a drop-in replacement for existing PEFTs and learns interventions that are 10x-50x more parameter-efficient than prior state-of-the-art PEFTs.
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Through extensive experiments on two mathematical reasoning benchmarks, namely GSM8k and MATH, we reveal the extraordinary capabilities of our model.
Ranked #49 on
Arithmetic Reasoning
on GSM8K
(using extra training data)
AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation
In this study, we propose AniPortrait, a novel framework for generating high-quality animation driven by audio and a reference portrait image.
TextHawk: Exploring Efficient Fine-Grained Perception of Multimodal Large Language Models
We conduct extensive experiments on both general and document-oriented MLLM benchmarks, and show that TextHawk outperforms the state-of-the-art methods, demonstrating its effectiveness and superiority in fine-grained document perception and general abilities.
Bilateral Reference for High-Resolution Dichotomous Image Segmentation
It comprises two essential components: the localization module (LM) and the reconstruction module (RM) with our proposed bilateral reference (BiRef).
Ranked #1 on
RGB Salient Object Detection
on HRSOD
(using extra training data)
Camouflaged Object Segmentation
Dichotomous Image Segmentation
+3
PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models
3DAgentWorld/Toolkit-for-Prompt-Compression
•
•
Prompt compression is an innovative method for efficiently condensing input prompts while preserving essential information.
Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
showlab/show-1
•
•
In this paper, we are the first to propose a hybrid model, dubbed as Show-1, which marries pixel-based and latent-based VDMs for text-to-video generation.
Ranked #2 on
Text-to-Video Generation
on EvalCrafter Text-to-Video (ECTV) Dataset
(using extra training data)
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding
boheumd/MA-LMM
•
•
However, existing LLM-based large multimodal models (e. g., Video-LLaMA, VideoChat) can only take in a limited number of frames for short video understanding.
Ranked #1 on
Video Classification
on COIN
Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance
KU-CVLAB/Perturbed-Attention-Guidance
•
•
These techniques are often not applicable in unconditional generation or in various downstream tasks such as image restoration.
