Recent research papers and advancements in the field of AI and video generation have been making significant progress. Various models such as StyleCrafter, VideoBooth, HiFi Tuner, InstaFlow, DiffiT, DeepCache, DreamVideo, Hierarchical Spatio-temporal Decoupling, GenTron, Smooth Diffusion, and AnimateZero are exploring different approaches to enhance text-to-video and image generation. These models aim to improve the generation of stylized videos, personalized image generation, real-time AI video generation, high-quality diffusion-based text-to-image generation, and more. Additionally, researchers from MIT and Adobe have introduced Distribution Matching Distillation (DMD), a method to transform a diffusion model into a one-step image generator, further pushing the boundaries of generative AI.
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models paper page: https://t.co/QqxizYkJg9 Recently, diffusion models have made remarkable progress in text-to-image (T2I) generation, synthesizing images with high fidelity and diverse contents. Despite this… https://t.co/Qqb3Wlvg7O
GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation paper page: https://t.co/YCGNNidXWW explore Transformer-based diffusion models for image and video generation. Despite the dominance of Transformer architectures in various fields due to their… https://t.co/R5NPD89Vbx
Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation paper page: https://t.co/f0MplMOB3f Despite diffusion models having shown powerful abilities to generate photorealistic images, generating videos that are realistic and diverse still remains in its infancy.… https://t.co/G9Wbg1JkJn
AnimateZero: Video Diffusion Models are Zero-Shot Image Animators paper page: https://t.co/PSFmFXucja Large-scale text-to-video (T2V) diffusion models have great progress in recent years in terms of visual quality, motion and temporal consistency. However, the generation… https://t.co/ysrPDcvd5s
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion paper page: https://t.co/J0370wIwbp Customized generation using diffusion models has made impressive progress in image generation, but remains unsatisfactory in the challenging video generation task, as… https://t.co/P21oGwSunp https://t.co/2FpupaiEp0
Researchers from MIT and Adobe Introduce Distribution Matching Distillation (DMD): An #AI Method to Transform a Diffusion Model into a One-Step Image Generator https://t.co/v6Lz12IwgP v/ @Marktechpost #GenerativeAI #MachineLearning Cc @jblefevre60 @pierrepinna @kalydeoo @Ym78200 https://t.co/gmfKN0fRsv
Analyzing and Improving the Training Dynamics of Diffusion Models paper page: https://t.co/VBnUoElVGq Diffusion models currently dominate the field of data-driven image synthesis with their unparalleled scaling to large datasets. In this paper, we identify and rectify several… https://t.co/nrfLhBm0r9 https://t.co/uPyB8VT5tc
AI advances are revolutionizing video generation. Stability AI's new model extends diffusion models from images to dynamic video content creation.
DeepCache: Accelerating Diffusion Models for Free paper page: https://t.co/jOT4Ba5TUr Diffusion models have recently gained unprecedented attention in the field of image synthesis due to their remarkable generative capabilities. Notwithstanding their prowess, these models often… https://t.co/TO9H3KlQzj https://t.co/W5P4iorYGo
DiffiT: Diffusion Vision Transformers for Image Generation paper page: https://t.co/XegLUMob84 Diffusion models with their powerful expressivity and high sample quality have enabled many new applications and use-cases in various domains. For sample generation, these models rely… https://t.co/Rv2Aq6veWS https://t.co/Uzo8uEyxd2
[CV] VideoBooth: Diffusion-based Video Generation with Image Prompts https://t.co/KDmvuSQdiD https://t.co/Sfa4GQW3QH
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation Great research from @XingchaoL et al. Incredibly fast @Gradio demo is on Spaces - https://t.co/Lp7ocZ9bi0 🤯Attached video is at the actual speed! https://t.co/54cFDUbDOG
Leveraging Stability AI's SDXL Turbo, @decohere_ai's platform enables real-time AI video generation, paving the way for revolutionary content creation. #AI https://t.co/MbaVens49n
VideoBooth: Diffusion-based Video Generation with Image Prompts paper page: https://t.co/Yk3utVfHXm Text-driven video generation witnesses rapid progress. However, merely using text prompts is not enough to depict the desired subject appearance that accurately aligns with… https://t.co/ObHg6CWbm1 https://t.co/4Ia6WD3Tty
StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter paper page: https://t.co/kV0c4FvhOS Text-to-video (T2V) models have shown remarkable capabilities in generating diverse videos. However, they struggle to produce user-desired stylized videos due to (i)… https://t.co/Nlpc4277rr https://t.co/JUVyU8TkPY
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models paper page: https://t.co/uQwPMH80TK This paper explores advancements in high-fidelity personalized image generation through the utilization of pre-trained text-to-image diffusion models. While previous… https://t.co/iAdNxDpgI4 https://t.co/II0y5ay2gg
One-step Diffusion with Distribution Matching Distillation Achieves comparable image quality with StableDiffusion v1.5 while being 30x faster proj: https://t.co/PkFIG76e1x abs: https://t.co/NQV9eC5s3H https://t.co/UuohQ8LYhb