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Native and Compact Structured Latents for 3D Generation
[NeurIPS 2025 DB] OneIG-Bench is a meticulously designed comprehensive benchmark framework for fine-grained evaluation of T2I models across multiple dimensions, including subject-element alignment,…
A practical guide to diffusion models, implemented from scratch.
This is the repository for the code and model released along with our paper to introduce Language-Grounded Sparse Encoders: https://arxiv.org/pdf/2508.18236?
A repository of resources on machine unlearning for diffusion models
Collection of AWESOME vision-language models for vision tasks
Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting
Open3D: A Modern Library for 3D Data Processing
A real- world dataset comprising thousands of multispectral and RGB images in diverse real world and lab conditions
[NeurIPS 2023] Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
The official repo of the Comics Survey: "A missing piece in Vision and Language: A Survey on Comics Understanding"
Code for "A Comprehensive Empirical Evaluation on Online Continual Learning" ICCVW 2023 VCL Workshop
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
[ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
collection of diffusion model papers categorized by their subareas
Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
[CVPR 2023] Learning Visual Representations via Language-Guided Sampling
Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
Code for the paper "Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models"
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data - Official PyTorch Implementation (CVPR 2022)
A framework to compute threshold sensitivity of deep networks to visual stimuli.
[ICCV 2023 Oral] Official PyTorch implementation of our paper for semi-supervised continual learning "A soft nearest-neighbor framework for continual semi-supervised learning".
This repository contains the implementation for the paper "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch."
AutoEncoder trained on ImageNet