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Image Generation

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하위 태스크: 23
평가표: 93
보존된 평가 기록: 870

Image Generation (synthesis) is the task of generating new images from an existing dataset.

Unconditional generation refers to generating samples unconditionally from the dataset, i.e. $p(y)$
Conditional image generation (subtask) refers to generating samples conditionally from the dataset, based on a label, i.e. $p(y|x)$.

In this section, you can find state-of-the-art leaderboards for unconditional generation. For conditional generation, and other types of image generations, refer to the subtasks.

<span style="color:grey; opacity: 0.6">( Image credit: StyleGAN )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/senp98/cat

공식 코드

CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models

https://github.com/seojin-kim/hi-mol

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Data-Efficient Molecular Generation with Hierarchical Textual Inversion

https://github.com/sepkfr/fine-grained-gaussian-process-forcating

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Fine-grained Forecasting Models Via Gaussian Process Blurring Effect

https://github.com/sergiuoprea/hgan

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H-GAN: the power of GANs in your Hands

https://github.com/seungjucha/verbdiff

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VerbDiff: Text-Only Diffusion Models with Enhanced Interaction Awareness

https://github.com/sf-zhai/badt2i

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Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning

https://github.com/sh4174/3DStyleGAN

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3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images

https://github.com/shahaf1313/procst

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ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer

https://github.com/shaham-lab/disilv

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Discovery of Single Independent Latent Variable

https://github.com/shahariar-shibli/adversarial-attack-on-pos-tags

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Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation

https://github.com/shahidmuneer/multimodal-nsfw-defense

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Towards Safe Synthetic Image Generation On the Web: A Multimodal Robust NSFW Defense and Million Scale Dataset

https://github.com/shalfun/DrivingDiffusion

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DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model

https://github.com/shamim-hussain/ssa

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The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles

https://github.com/shanface33/autosplice_dataset

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AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

https://github.com/shaoshitong/DiffuseExpand

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DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models

https://github.com/share424/indonesian-text-to-image-synthesis-with-sentence-bert-and-fastgan

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Indonesian Text-to-Image Synthesis with Sentence-BERT and FastGAN

https://github.com/sharibox/histopathology-inkRemoval

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Ink removal from histopathology whole slide images by combining classification, detection and image generation models

https://github.com/sharif-apu/twostageHDR_NTIRE21

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A Two-stage Deep Network for High Dynamic Range Image Reconstruction

https://github.com/sharpiless/rgal

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Relation-Guided Adversarial Learning for Data-free Knowledge Transfer

https://github.com/shashank879/logan

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No Modes left behind: Capturing the data distribution effectively using GANs

https://github.com/shashankkotyan/EvoSeed

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Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models!

https://github.com/shawnricecake/fast-car

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FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge

https://github.com/sheffier/gani

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Gradient Adjusting Networks for Domain Inversion

https://github.com/sheldontsui/gof_neurips2021

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Generative Occupancy Fields for 3D Surface-Aware Image Synthesis

https://github.com/shendu-sw/PIRL

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Joint Deep Reversible Regression Model and Physics-Informed Unsupervised Learning for Temperature Field Reconstruction

https://github.com/shengcheng/captions4t2i

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Precision or Recall? An Analysis of Image Captions for Training Text-to-Image Generation Model

https://github.com/shenzheng2000/tpsence

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TPSeNCE: Towards Artifact-Free Realistic Rain Generation for Deraining and Object Detection in Rain

https://github.com/shepnerd/blindinpainting_vcnet

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VCNet: A Robust Approach to Blind Image Inpainting

https://github.com/shepnerd/inpainting_gmcnn

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Image Inpainting via Generative Multi-column Convolutional Neural Networks

https://github.com/sheqi/GAN_Review

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Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy

https://github.com/sherwinbahmani/3dvideogeneration

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3D-Aware Video Generation

https://github.com/sherylhyx/sssnet_signed_clustering

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SSSNET: Semi-Supervised Signed Network Clustering

https://github.com/shi-labs/forget-me-not

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Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models

https://github.com/shi-labs/prompt-free-diffusion

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Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models

https://github.com/shi-labs/sh-gan

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Image Completion with Heterogeneously Filtered Spectral Hints

https://github.com/shi-labs/vcoder

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VCoder: Versatile Vision Encoders for Multimodal Large Language Models

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