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Awesome-Generative-Image-Composition?tab=readme-ov-file
A curated list of papers, code, and resources pertaining to generative image composition or object insertion.
https://github.com/bcmi/Awesome-Generative-Image-Composition?tab=readme-ov-file
- [arXiv
- online demo
- Composite-Image-Evaluation
- COCOEE - domain, single-ref): 500 background images from MSCOCO validation set. Each background image has a bounding box and a foreground image from MSCOCO training set.
- TF-ICON test benchmark - domain, single-ref): 332 samples. Each sample consists of a background image, a foreground image, a
- FOSCom - domain, single-ref): 640 background images from Internet. Each background image has a manually annotated bounding box and a foreground image from MSCOCO training set.
- DreamEditBench - domain, multi-ref): 220 background images and 30 unique foreground objects from 15 categories.
- MureCom - domain, multi-ref): 640 background images and 96 unique foreground objects from 32 categories.
- COCOEE - Image-Composition). Honestly speaking, the following metrics are not very reliable. For more comprehensive evaluation metrics, you can refer to this [summary](https://github.com/bcmi/Composite-Image-Evaluation).
- Segment Anything
- openai/clip-vit-base-patch32
- ViT-H SAM model
- facebook/dino-vits16
- coco2017_gmm_k20
- Google Drive
- COCO2017 - ->
- COCOEE benchmark
- [arXiv
- [arXiv - vilab/AnyDoor) [[demo]](https://huggingface.co/spaces/xichenhku/AnyDoor-online)
- [pdf - diffusion)
- [arXiv
- [arXiv - Image-Composition) [[demo]](https://bcmi.sjtu.edu.cn/home/niuli/demo_image_composition/)
- [arXiv - demo-page)
- [arXiv - hachnochi/cross-domain-compositing)
- [pdf - LU/TF-ICON)
- [arXiv - Studio/Paint-by-Example)
- [arXiv - Image-Composition)
- [paper - research/affordance-insertion)
- [arXiv - Image-Composition)
- [arXiv
- [arXiv - cond-3d)
- [arXiv
- [arXiv - goel/isrf_code)
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- Awesome-Image-Composition
Programming Languages
Keywords
image-composition
5
diffusion-model
3
stable-diffusion
3
image-blending
2
image-harmonization
2
object-insertion
2
computer-vision
2
deep-learning
2
diffusion-models
2
image-editing
2
image-generation
2
image-manipulation
2
paint-by-example
2
pytorch
2
text-to-image
1
image-compositing
1
image-inversion
1
generative-ai
1
object-placement
1
shadow-generation
1