2025 "image editing" Papers
11 papers found
Bridging the gap to real-world language-grounded visual concept learning
whie jung, Semin Kim, Junee Kim et al.
NeurIPS 2025posterarXiv:2510.21412
EditAR: Unified Conditional Generation with Autoregressive Models
Jiteng Mu, Nuno Vasconcelos, Xiaolong Wang
CVPR 2025posterarXiv:2501.04699
23
citations
EditCLIP: Representation Learning for Image Editing
Qian Wang, Aleksandar Cvejic, Abdelrahman Eldesokey et al.
ICCV 2025posterarXiv:2503.20318
Janus-Pro-R1: Advancing Collaborative Visual Comprehension and Generation via Reinforcement Learning
Kaihang Pan, Yang Wu, Wendong Bu et al.
NeurIPS 2025posterarXiv:2506.01480
6
citations
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator
Chaehun Shin, Jooyoung Choi, Heeseung Kim et al.
CVPR 2025posterarXiv:2411.15466
36
citations
MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World
Ankit Dhiman, Manan Shah, R. Venkatesh Babu
CVPR 2025posterarXiv:2504.15397
1
citations
Neural-Driven Image Editing
Pengfei Zhou, Jie Xia, Xiaopeng Peng et al.
NeurIPS 2025posterarXiv:2507.05397
2
citations
OmniGen-AR: AutoRegressive Any-to-Image Generation
Junke Wang, Xun Wang, Qiushan Guo et al.
NeurIPS 2025poster
Paint by Inpaint: Learning to Add Image Objects by Removing Them First
Navve Wasserman, Noam Rotstein, Roy Ganz et al.
CVPR 2025posterarXiv:2404.18212
29
citations
Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models
Jing Zuo, Luoping Cui, Chuang Zhu et al.
NeurIPS 2025poster
Text-to-Image Rectified Flow as Plug-and-Play Priors
Xiaofeng Yang, Cheng Chen, xulei yang et al.
ICLR 2025posterarXiv:2406.03293
23
citations