Trending Research
Magic Clothing: Controllable Garment-Driven Image Synthesis
shinechen1024/magicclothing
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We propose Magic Clothing, a latent diffusion model (LDM)-based network architecture for an unexplored garment-driven image synthesis task.
A Light CNN for Deep Face Representation with Noisy Labels
This paper presents a Light CNN framework to learn a compact embedding on the large-scale face data with massive noisy labels.
Ranked #2 on
Age-Invariant Face Recognition
on CAFR
Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations
Autonomous robotic systems capable of learning novel manipulation tasks are poised to transform industries from manufacturing to service automation.
AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation
In this study, we propose AniPortrait, a novel framework for generating high-quality animation driven by audio and a reference portrait image.
OpenAgents: An Open Platform for Language Agents in the Wild
Language agents show potential in being capable of utilizing natural language for varied and intricate tasks in diverse environments, particularly when built upon large language models (LLMs).
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation
Tuning-free diffusion-based models have demonstrated significant potential in the realm of image personalization and customization.
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.
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
We present a versatile NeRF-based simulator for testing autonomous driving (AD) software systems, designed with a focus on sensor-realistic closed-loop evaluation and the creation of safety-critical scenarios.
ViTamin: Designing Scalable Vision Models in the Vision-Language Era
To this end, we introduce ViTamin, a new vision models tailored for VLMs.
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
ailab-cvc/seed-x
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We hope that our work will inspire future research into what can be achieved by versatile multimodal foundation models in real-world applications.
