Fetching the paper…
Reading the bibliography…
Current hair transfer methods struggle to handle diverse and intricate hairstyles, limiting their applicability in real-world scenarios.
Image quality assessment: from error visibility to structural similarity
Wang, Z.; Bovik, A. C.; Sheikh, H. R.; and Simoncelli, E. P. 2004 · 2004
Earlier work this paper cites.
Denoising Diffusion Probabilistic Models
Ho, J.; Jain, A.; and Abbeel, P. 2020 · 2006
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Heusel, M.; Ramsauer, H.; Unterthiner, T.; Nessler, B.; and Hochreiter, S. 2017 · 2017
Earlier work this paper cites.
Progressive growing of gans for improved quality, stability, and variation
Karras, T.; Aila, T.; Laine, S.; and Lehtinen, J. 2017 · 2017
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2018 · 2018
Earlier work this paper cites.
Hair-GANs: Recovering 3D Hair Structure from a Single Image
Zhang, M.; and Zheng, Y. 2018 · 2018
Earlier work this paper cites.
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Deng, J.; Guo, J.; Niannan, X.; and Zafeiriou, S. 2019 · 2019
Earlier work this paper cites.
A style-based generator architecture for generative adversarial networks
Karras, T.; Laine, S.; and Aila, T. 2019 · 2019
Earlier work this paper cites.
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing
Tan, Z.; Chai, M.; Chen, D.; Liao, J.; Chu, Q.; Yuan, L.; Tulyakov, S.; and Yu, N. 2020 · 2020
Earlier work this paper cites.
Learning Transferable Visual Models From Natural Language Supervision
Radford, A.; Kim, J. W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; Krueger, G.; and Sutskever, I. 2021 · 2021
Earlier work this paper cites.
LOHO: Latent Optimization of Hairstyles via Orthogonalization
Saha; Rohit; Duke; Brendan; Shkurti; Florian; Taylor; Graham; Aarabi; and Parham. 2021 · 2021
Earlier work this paper cites.
Barbershop: GAN-based Image Compositing using Segmentation Masks
Zhu, P.; Abdal, R.; Femiani, J.; and Wonka, P. 2021 · 2021
Earlier work this paper cites.
Chung, C.; Kim, T.; Nam, H.; Choi, S.; Gu, G.; Park, S.; and Choo, J. 2022 · 2022
Earlier work this paper cites.
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Gal, R.; Alaluf, Y.; Atzmon, Y.; Patashnik, O.; Bermano, A. H.; Chechik, G.; and Cohen-Or, D. 2022 · 2022
Earlier work this paper cites.
GAN with Multivariate Disentangling for Controllable Hair Editing
Guo, X.; Kan, M.; Chen, T.; and Shan, S. 2022 · 2022
Earlier work this paper cites.
LoRA: Low-Rank Adaptation of Large Language Models
Hu, E. J.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W. 2022 · 2022
Earlier work this paper cites.
Kim, T.; Chung, C.; Kim, Y.; Park, S.; Kim, K.; and Choo, J. 2022 · 2022
Earlier work this paper cites.
Hierarchical Text-Conditional Image Generation with CLIP Latents
Ramesh, A.; Dhariwal, P.; Nichol, A.; Chu, C.; and Chen, M. 2022 · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Rombach, R.; Blattmann, A.; Lorenz, D.; Esser, P.; and Ommer, B. 2022 · 2022
Cited alongside, same era.
DreamBooth: Fine Tuning Text-to-image Diffusion Models for Subject-Driven Generation
Ruiz, N.; Li, Y.; Jampani, V.; Pritch, Y.; Rubinstein, M.; and Aberman, K. 2022 · 2022
Cited alongside, same era.
LAION-5B: An open large-scale dataset for training next generation image-text models
Schuhmann, C.; Beaumont, R.; Vencu, R.; Gordon, C.; Wightman, R.; Cherti, M.; Coombes, T.; Katta, A.; Mullis, C.; Wortsman, M.; Schramowski, P.; Kundurthy, S.; Crowson, K.; Schmidt, L.; Kaczmarczyk, R.; and Jitsev, J. 2022 · 2022
Cited alongside, same era.
Few-shot head swapping in the wild
Shu, C.; Wu, H.; Zhou, H.; Liu, J.; Hong, Z.; Ding, C.; Han, J.; Liu, J.; Ding, E.; and Wang, J. 2022 · 2022
Directed diffusion: Direct control of object placement through attention guidance
Ma, W.-D. K.; Lewis, J.; Kleijn, W. B.; and Leung, T. 2023 · 2023
Later among the works it cites.
Sdxl: Improving latent diffusion models for high-resolution image synthesis
Podell, D.; English, Z.; Lacey, K.; Blattmann, A.; Dockhorn, T.; Müller, J.; Penna, J.; and Rombach, R. 2023 · 2023
Later among the works it cites.
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
Ruiz, N.; Li, Y.; Jampani, V.; Wei, W.; Hou, T.; Pritch, Y.; Wadhwa, N.; Rubinstein, M.; and Aberman, K. 2023 · 2023
Later among the works it cites.
Ledits: Real image editing with ddpm inversion and semantic guidance
Tsaban, L.; and Passos, A. 2023 · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Hairclip: Design your hair by text and reference image
Wei, T.; Chen, D.; Zhou, W.; Liao, J.; Tan, Z.; Yuan, L.; Zhang, W.; and Yu, N. 2022 · 2022
Cited alongside, same era.
HairMapper: Removing Hair From Portraits Using GANs
Wu, Y.; Yang, Y.-L.; and Jin, X. 2022 · 2022
Cited alongside, same era.
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models
Arar, M.; Gal, R.; Atzmon, Y.; Chechik, G.; Cohen-Or, D.; Shamir, A.; and Bermano, A. H. 2023 · 2023
Cited alongside, same era.
iEdit: Localised Text-guided Image Editing with Weak Supervision
Bodur, R.; Gundogdu, E.; Bhattarai, B.; Kim, T.-K.; Donoser, M.; and Bazzani, L. 2023 · 2023
Cited alongside, same era.
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing
Cao, M.; Wang, X.; Qi, Z.; Shan, Y.; Qie, X.; and Zheng, Y. 2023 · 2023
Cited alongside, same era.
Hairnerf: Geometry-aware image synthesis for hairstyle transfer
Chang, S.; Kim, G.; and Kim, H. 2023 · 2023
Cited alongside, same era.
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
Chefer, H.; Alaluf, Y.; Vinker, Y.; Wolf, L.; and Cohen-Or, D. 2023 · 2023
Cited alongside, same era.
Wei, T.; Chen, D.; Zhou, W.; Liao, J.; Zhang, W.; Hua, G.; and Yu, N. 2023 · 2023
Later among the works it cites.
Edit everything: A text-guided generative system for images editing
Xie, D.; Wang, R.; Ma, J.; Chen, C.; Lu, H.; Yang, D.; Shi, F.; and Lin, X. 2023 · 2023
Later among the works it cites.
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model
Zeng, J.; Song, D.; Nie, W.; Tian, H.; Wang, T.; and Liu, A. 2023 · 2023
Later among the works it cites.
Adding conditional control to text-to-image diffusion models
Zhang, L.; and Agrawala, M. 2023 · 2023
Later among the works it cites.
Sine: Single image editing with text-to-image diffusion models
Zhang, Z.; Han, L.; Ghosh, A.; Metaxas, D. N.; and Ren, J. 2023 · 2023
Later among the works it cites.
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Zhao, S.; Chen, D.; Chen, Y.-C.; Bao, J.; Hao, S.; Yuan, L.; and Wong, K.-Y. K. 2023 · 2023
Later among the works it cites.
Zone: Zero-shot instruction-guided local editing
Li, S.; Zeng, B.; Feng, Y.; Gao, S.; Liu, X.; Liu, J.; Li, L.; Tang, X.; Hu, Y.; Liu, J.; et al. 2024 · 2024
Closest in time.
HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
Nikolaev, M.; Kuznetsov, M.; Vetrov, D.; and Alanov, A. 2024 · 2024
Closest in time.
StableGarment: Garment-Centric Generation via Stable Diffusion
Wang, R.; Guo, H.; Liu, J.; Li, H.; Zhao, H.; Tang, X.; Hu, Y.; Tang, H.; and Li, P. 2024 · 2024
Closest in time.
Ootdiffusion: Outfitting fusion based latent diffusion for controllable virtual try-on
Xu, Y.; Gu, T.; Chen, W.; and Chen, C. 2024 · 2024
Closest in time.
EditWorld: Simulating World Dynamics for Instruction-Following Image Editing
Yang, L.; Zeng, B.; Liu, J.; Li, H.; Xu, M.; Zhang, W.; and Yan, S. 2024 · 2024
Closest in time.
Fast Personalized Text to Image Synthesis with Attention Injection
Zhang, Y.; Song, Y.; Yu, J.; Pan, H.; and Jing, Z. 2024c · 2024
Closest in time.