Trending Research
Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generation
EnVision-Research/Kiss3DGen
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The normal maps are then used to reconstruct a 3D mesh, and the multi-view images provide texture mapping, resulting in a complete 3D model.
From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
To solve this problem, feature caching has been proposed to accelerate diffusion models by caching the features in the previous timesteps and then reusing them in the following timesteps.
LLM-Based Multi-Agent Systems are Scalable Graph Generative Models
The structural properties of naturally arising social graphs are extensively studied to understand their evolution.
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
deep-agent/r1-v
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We first analyze the limitations of current Multimodal Large Language Models (MLLMs) in this area: they struggle to accurately comprehending basic geometric elements and their relationships.
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
sonyresearch/micro_diffusion
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As scaling laws in generative AI push performance, they also simultaneously concentrate the development of these models among actors with large computational resources.
Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection
We address pose-based video anomaly detection and introduce a novel framework called Dual Conditioned Motion Diffusion (DCMD), which enjoys the advantages of both approaches.
Online 3D Bin Packing with Constrained Deep Reinforcement Learning
alexfrom0815/Online-3D-BPP-DRL
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We solve a challenging yet practically useful variant of 3D Bin Packing Problem (3D-BPP).
HVI: A New color space for Low-light Image Enhancement
Low-Light Image Enhancement (LLIE) is a crucial computer vision task that aims to restore detailed visual information from corrupted low-light images.
OASIS: Open Agent Social Interaction Simulations with One Million Agents
There has been a growing interest in enhancing rule-based agent-based models (ABMs) for social media platforms (i. e., X, Reddit) with more realistic large language model (LLM) agents, thereby allowing for a more nuanced study of complex systems.
Fooling the Image Dehazing Models by First Order Gradient
guijiejie/aadn
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In this paper, we focus on designing a group of attack methods based on first order gradient to verify the robustness of the existing dehazing algorithms.
