Trending Research
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
In an effort to further advance semi-supervised generative and classification tasks, we propose a simple yet effective training strategy called dual pseudo training (DPT), built upon strong semi-supervised learners and diffusion models.
Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance
fudan-generative-vision/champ
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In this study, we introduce a methodology for human image animation by leveraging a 3D human parametric model within a latent diffusion framework to enhance shape alignment and motion guidance in curernt human generative techniques.
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study
macaronlin/llama3-quantization
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This exploration holds the potential to unveil new insights and challenges for low-bit quantization of LLaMA3 and other forthcoming LLMs, especially in addressing performance degradation problems that suffer in LLM compression.
BAdam: A Memory Efficient Full Parameter Training Method for Large Language Models
ledzy/badam
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This work presents BAdam, an optimizer that leverages the block coordinate optimization framework with Adam as the inner solver.
BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion
Image inpainting, the process of restoring corrupted images, has seen significant advancements with the advent of diffusion models (DMs).
HGRN2: Gated Linear RNNs with State Expansion
sustcsonglin/flash-linear-attention
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Hierarchically gated linear RNN (HGRN, Qin et al. 2023) has demonstrated competitive training speed and performance in language modeling, while offering efficient inference.
Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
showlab/show-1
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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)
CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models
In this work, we propose CharacterFactory, a framework that allows sampling new characters with consistent identities in the latent space of GANs for diffusion models.
CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models
We present BenchmarkName, a novel benchmark to quantify LLM security risks and capabilities.
OMEGAS: Object Mesh Extraction from Large Scenes Guided by Gaussian Segmentation
Current scene reconstruction techniques frequently result in the loss of object detail textures and are unable to reconstruct object portions that are occluded or unseen in views.
