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Development of metaverse for intelligent healthcare
The metaverse integrates physical and virtual realities, enabling humans and their avatars to
interact in an environment supported by technologies such as high-speed internet, virtual …
interact in an environment supported by technologies such as high-speed internet, virtual …
Parameter-efficient fine-tuning for large models: A comprehensive survey
Large models represent a groundbreaking advancement in multiple application fields,
enabling remarkable achievements across various tasks. However, their unprecedented …
enabling remarkable achievements across various tasks. However, their unprecedented …
Align your latents: High-resolution video synthesis with latent diffusion models
Abstract Latent Diffusion Models (LDMs) enable high-quality image synthesis while avoiding
excessive compute demands by training a diffusion model in a compressed lower …
excessive compute demands by training a diffusion model in a compressed lower …
Next-gpt: Any-to-any multimodal llm
While recently Multimodal Large Language Models (MM-LLMs) have made exciting strides,
they mostly fall prey to the limitation of only input-side multimodal understanding, without the …
they mostly fall prey to the limitation of only input-side multimodal understanding, without the …
Text2video-zero: Text-to-image diffusion models are zero-shot video generators
Recent text-to-video generation approaches rely on computationally heavy training and
require large-scale video datasets. In this paper, we introduce a new task, zero-shot text-to …
require large-scale video datasets. In this paper, we introduce a new task, zero-shot text-to …
Animatediff: Animate your personalized text-to-image diffusion models without specific tuning
With the advance of text-to-image (T2I) diffusion models (eg, Stable Diffusion) and
corresponding personalization techniques such as DreamBooth and LoRA, everyone can …
corresponding personalization techniques such as DreamBooth and LoRA, everyone can …
Repurposing diffusion-based image generators for monocular depth estimation
Monocular depth estimation is a fundamental computer vision task. Recovering 3D depth
from a single image is geometrically ill-posed and requires scene understanding so it is not …
from a single image is geometrically ill-posed and requires scene understanding so it is not …
Mvdream: Multi-view diffusion for 3d generation
We introduce MVDream, a diffusion model that is able to generate consistent multi-view
images from a given text prompt. Learning from both 2D and 3D data, a multi-view diffusion …
images from a given text prompt. Learning from both 2D and 3D data, a multi-view diffusion …
Vbench: Comprehensive benchmark suite for video generative models
Video generation has witnessed significant advancements yet evaluating these models
remains a challenge. A comprehensive evaluation benchmark for video generation is …
remains a challenge. A comprehensive evaluation benchmark for video generation is …
Blip-diffusion: Pre-trained subject representation for controllable text-to-image generation and editing
Subject-driven text-to-image generation models create novel renditions of an input subject
based on text prompts. Existing models suffer from lengthy fine-tuning and difficulties …
based on text prompts. Existing models suffer from lengthy fine-tuning and difficulties …