Top Important Computer Vision Papers for the Week from 04/12 to 10/12
Stay Updated with Recent Computer Vision Research
Every week, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model optimization, generative adversarial networks (GANs), image segmentation, video analysis, and more.
This article provides a comprehensive overview of the most significant papers published in the Second week of December 2023, highlighting the latest research and advancements in computer vision. Whether you’re a researcher, practitioner, or enthusiast, this article will provide valuable insights into the state-of-the-art techniques and tools in computer vision.
Table of Contents:
Stable Diffusion
Vision Language Models
Image Generation & Editing
Video Generation & Editing
Image Segmentation
Image Recognition
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1. Stable Diffusion
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
AnimateZero: Video Diffusion Models are Zero-Shot Image Animators
GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
Analyzing and Improving the Training Dynamics of Diffusion Models
ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation
X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model
Orthogonal Adaptation for Modular Customization of Diffusion Models
Alchemist: Parametric Control of Material Properties with Diffusion Models
VideoBooth: Diffusion-based Video Generation with Image Prompts
DREAM: Diffusion Rectification and Estimation-Adaptive Models
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models
StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D
Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models
2. Vision Language Models
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models
GPT4Point: A Unified Framework for Point-Language Understanding and Generation
Rejuvenating image-GPT as Strong Visual Representation Learners
3. Image Generation & Editing
PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding
HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image
Scaling Laws of Synthetic Images for Model Training … for Now
DreamComposer: Controllable 3D Object Generation via Multi-View Conditions
Self-conditioned Image Generation via Generating Representations
MVHumanNet: A Large-scale Dataset of Multi-view Daily Dressing Human Captures
4. Video Generation & Editing
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion
Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation
MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
MagicStick: Controllable Video Editing via Control Handle Transformations
LivePhoto: Real Image Animation with Text-guided Motion Control
StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter
FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models
VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence
5. Image Segmentation
6. Image Recognition
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