Computer Vision

MoViE: Mobile Diffusion for Video Editing achieves 12 FPS video editing on mobile phones by optimizing existing image editing models, achieving a major breakthrough in on-device video processing.

EMOv2 achieves state-of-the-art performance in various vision tasks using a novel Meta Mobile Block, pushing the 5M parameter lightweight model frontier.

MinT: Generating coherent videos with precisely timed, multiple events via temporal control, surpassing existing methods.

RAPL efficiently aligns robots with human preferences using minimal feedback by aligning visual representations before reward learning.

LiFT leverages human feedback, including reasoning, to effectively align text-to-video models with human preferences, significantly improving video quality.

ZipAR accelerates autoregressive image generation by up to 91% through parallel decoding leveraging spatial locality in images, making high-resolution image generation significantly faster.

SwiftEdit achieves lightning-fast, high-quality text-guided image editing in just 0.23 seconds via a novel one-step diffusion process.

Infinity, a novel bitwise autoregressive model, sets new records in high-resolution image synthesis, outperforming top diffusion models in speed and quality.

HumanEdit: A new human-rewarded dataset revolutionizes instruction-based image editing by providing high-quality, diverse image pairs with detailed instructions, enabling precise model evaluation and …

WIND: A novel, distortion-free image watermarking method leveraging diffusion models’ initial noise for robust AI-generated content authentication.

AnyDressing: Customizable multi-garment virtual dressing via a novel latent diffusion model!

NVComposer: A novel generative NVS model boosts synthesis quality by implicitly inferring spatial relationships from multiple sparse, unposed images, eliminating reliance on external alignment.

MV-Adapter easily transforms existing image generators into multi-view consistent image generators, improving efficiency and adaptability.

MRGen, a novel diffusion-based data engine, controllably synthesizes MRI data for unannotated modalities, boosting segmentation model performance.

Mimir: A novel framework harmonizes LLMs and video diffusion models for precise text understanding in video generation, producing high-quality videos with superior text comprehension.

MIDI: a novel multi-instance diffusion model generates compositional 3D scenes from single images by simultaneously creating multiple 3D instances with accurate spatial relationships and high generali…

Imagine360: Generating immersive 360° videos from perspective videos, improving quality and accessibility of 360° content creation.

ScoreLiDAR: Distilling diffusion models for 5x faster, higher-quality 3D LiDAR scene completion!

CleanDIFT revolutionizes diffusion feature extraction by leveraging clean images and a lightweight fine-tuning method, significantly boosting performance across various tasks without noise or timestep…

2DGS-Room: Seed-guided 2D Gaussian splatting with geometric constraints achieves state-of-the-art high-fidelity indoor scene reconstruction.