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Found 8 papers, 3 papers with code
Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Orthogonal Diffusion Models
Recent advancements in 3D generation are predominantly propelled by improvements in 3D-aware image diffusion models which are pretrained on Internet-scale image data and fine-tuned on massive 3D data, offering the capability of producing highly consistent multi-view images.
$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
To this end, we propose Semantic Space Informed Prompt learning with LLM ($S^2$IP-LLM) to align the pre-trained semantic space with time series embeddings space and perform time series forecasting based on learned prompts from the joint space.
Structural Knowledge Informed Continual Multivariate Time Series Forecasting
To address this issue, we propose a novel Structural Knowledge Informed Continual Learning (SKI-CL) framework to perform MTS forecasting within a continual learning paradigm, which leverages structural knowledge to steer the forecasting model toward identifying and adapting to different regimes, and selects representative MTS samples from each regime for memory replay.
Empowering Time Series Analysis with Large Language Models: A Survey
Specifically, we first state the challenges and motivations of applying language models in the context of time series as well as brief preliminaries of LLMs.
Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements
To address this issue, we introduce a novel approach to long-text classification and prediction.
Fast Dynamic 3D Object Generation from a Single-view Video
Generating dynamic 3D object from a single-view video is challenging due to the lack of 4D labeled data.
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
In this framework, a significant challenge arises: To compute gradients for individual image pixels, it is necessary to backpropagate gradients from the designated latent space through the frozen components of the image model, such as the VAE encoder used within LDM.
Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
Reconstructing dynamic 3D scenes from 2D images and generating diverse views over time is challenging due to scene complexity and temporal dynamics.
