Trending Research
SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions
IDKiro/sdxs
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Recent advancements in diffusion models have positioned them at the forefront of image generation.
A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise
They endow Large Language Models (LLMs) with powerful capabilities in visual understanding, enabling them to tackle diverse multi-modal tasks.
HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
airi-institute/hairfastgan
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Our paper addresses the complex task of transferring a hairstyle from a reference image to an input photo for virtual hair try-on.
ShareGPT4V: Improving Large Multi-Modal Models with Better Captions
InternLM/InternLM-XComposer
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In the realm of large multi-modal models (LMMs), efficient modality alignment is crucial yet often constrained by the scarcity of high-quality image-text data.
Ranked #1 on
visual instruction following
on LLaVA-Bench
Policy-Guided Diffusion
emptyjackson/policy-guided-diffusion
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Our approach provides an effective alternative to autoregressive offline world models, opening the door to the controllable generation of synthetic training data.
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
picsart-ai-research/streamingt2v
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To overcome these limitations, we introduce StreamingT2V, an autoregressive approach for long video generation of 80, 240, 600, 1200 or more frames with smooth transitions.
A Light CNN for Deep Face Representation with Noisy Labels
This paper presents a Light CNN framework to learn a compact embedding on the large-scale face data with massive noisy labels.
Ranked #2 on
Age-Invariant Face Recognition
on CAFR
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
internlm/internlm-xcomposer
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The Large Vision-Language Model (LVLM) field has seen significant advancements, yet its progression has been hindered by challenges in comprehending fine-grained visual content due to limited resolution.
Ranked #11 on
Visual Question Answering
on MM-Vet
Chronos: Learning the Language of Time Series
amazon-science/chronos-forecasting
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We introduce Chronos, a simple yet effective framework for pretrained probabilistic time series models.
JetMoE: Reaching Llama2 Performance with 0.1M Dollars
Large Language Models (LLMs) have achieved remarkable results, but their increasing resource demand has become a major obstacle to the development of powerful and accessible super-human intelligence.
