Computer Vision

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.

VideoGen-of-Thought (VGoT) creates high-quality, multi-shot videos by collaboratively generating scripts, keyframes, and video clips, ensuring narrative consistency and visual coherence.

SNOOPI supercharges one-step diffusion model distillation with enhanced guidance, achieving state-of-the-art performance by stabilizing training and enabling negative prompt control.

GSQ-GAN, a novel image tokenizer, achieves superior reconstruction quality with 16x downsampling using grouped spherical quantization, enabling efficient scaling for high-fidelity image generation.

OmniCreator: Self-supervised unified image+video generation & universal editing.