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Found 7 papers, 6 papers with code
Envision3D: One Image to 3D with Anchor Views Interpolation
To address this issue, we propose a novel cascade diffusion framework, which decomposes the challenging dense views generation task into two tractable stages, namely anchor views generation and anchor views interpolation.
LLMBind: A Unified Modality-Task Integration Framework
In the multi-modal domain, the dependence of various models on specific input formats leads to user confusion and hinders progress.
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
In this work, we propose a simple yet effective training strategy MoE-Tuning for LVLMs.
Ranked #52 on
Visual Question Answering
on MM-Vet
Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting
The core idea is to combine the powerful image generation capability of the 2D diffusion model and the texture alignment ability of the repainting strategy for generating high-quality multi-view images with consistency.
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
We thus propose VIDAL-10M with Video, Infrared, Depth, Audio and their corresponding Language, naming as VIDAL-10M.
Ranked #1 on
Zero-shot Audio Classification
on VGG-Sound
(using extra training data)
Learnable Privacy-Preserving Anonymization for Pedestrian Images
We further propose a progressive training strategy to improve the performance, which iteratively upgrades the initial anonymization supervision.
Dexterous Manipulation Primitives for the Real Robot Challenge
We use model-based trajectory optimization and control to plan and execute these primitives.
Robotics
