Open-source alternatives to TokenFlow

CVPR 2025 Highlight🔥 Identity-Preserving Text-to-Video Generation by Frequency Decomposition

CVPR 2025 Highlight X-Dyna: Expressive Dynamic Human Image Animation

A 3B-active-parameter native unified multimodal model for image and video understanding, generation, and editing.

CVPR2025 We present SleeperMark, a novel framework designed to embed resilient watermarks into T2I diffusion models

Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding

Janus is a multimodal large language model and unified framework that integrates visual understanding and image generation within a single neural network. It functions as both a visual understanding model for analyzing images and a text-to-image generator. The system uses a unified transformer backbone and a multimodal latent space to bridge the gap between text and visual data. This architecture employs decoupled visual encoding and cross-modal tokenization to separate the paths for discriminative understanding and generative tasks, representing images as grids of discrete codes. The projec

Official implementation of Tuna-2: Pixel Embeddings Beat Vision Encoders for Unified Understanding and Generation

CVPR 2025 Consistent and Controllable Image Animation with Motion Diffusion Models

InternVL-U is a 4B-parameter unified multimodal model (UMM) that brings multimodal understanding, reasoning, image generation, image editing into a single framework.

This project is a computer vision benchmark and image classification dataset used to measure and compare the accuracy of machine learning models. It provides a standardized collection of labeled fashion product images and training data formatted to be compatible with the MNIST dataset structure. The dataset consists of fixed-dimension grayscale images and label-based category mappings, stored in a binary format. It includes pre-split training and testing sets and a static distribution to ensure consistent cross-model benchmarking. The repository supports image classification benchmarking and

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

Attention-based Deep Multiple Instance Learning

Project page for End-to-end Recovery of Human Shape and Pose

Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

This is the implementation of Hierarchical Long-term Video Prediction without Supervision, to be published in ICML 2018.

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

Maxim Berman, Amal Rannen Triki, Matthew B. Blaschko

Code for our CVPR 2018 paper: "Synthesizing Images of Humans in Unseen Poses"

Angjoo Kanazawa \ , Shubham Tulsiani \ , Alexei A. Efros, Jitendra Malik