Generative Photography: Scene-Consistent Camera Control for Realistic Text-to-Image Synthesis
Yu Yuan, Xijun Wang, Yichen Sheng, Prateek Chennuri, Xingguang Zhang, Stanley H. Chan
Abstract
2 NVIDIA 4 scene while modifying only the camera settings to achieve varied photographic effects. Current state-of-the-art text-to-image generation models like Stable Diffusion 3 (SD3) [4] and FLUX [1] face two major limitations: failure to accurately interpret camera-specific settings and difficulties in maintaining consistency in the base scene. This paper introduces a novel approach that addresses these issues, enabling precise camera setting control and maintaining scene consistency in generative models.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext a6ceff6e-27c8-4ac9-aabf-278e17131b78Cited by top-tier papers14
- NewtonGen: Physics-consistent and Controllable Text-to-Video Generation via Neural Newtonian DynamicsYu Yuan, Xijun Wang, Tharindu Wickremasinghe, Zeeshan Nadir et al.ICLR 2026 · 46 citations
- Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-DistillationSherwin Bahmani, Tianchang Shen, Jiawei Ren, Jiahui Huang et al.ICLR 2026 · 33 citations
- Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and GenerationKang Liao, Size Wu, Zhonghua Wu, Linyi Jin et al.ICLR 2026 · 19 citations
- CamEdit: Continuous Camera Parameter Control for Photorealistic Image EditingXinran Qin, Zhixin Wang, Fan Li, Haoyu Chen et al.NeurIPS 2025 · 17 citations
- Towards Intrinsic-Aware Monocular 3D Object DetectionZhihao Zhang, Abhinav Kumar, Xiaoming LiuCVPR 2026 · 5 citations
Builds on35
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh et al.ICML 2021 · 47,906 citations
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 35,902 citations
- Diffusion Models Beat GANs on Image SynthesisPrafulla Dhariwal, Alexander Quinn NicholNeurIPS 2021 · 13,211 citations
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser et al.CVPR 2022 · 13,123 citations
- Visual Instruction TuningHaotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae LeeNeurIPS 2023 · 11,349 citations
Related papers
- TOSS: High-quality Text-guided Novel View Synthesis from a Single ImageYukai Shi, Jianan Wang, He Cao, Boshi Tang et al.ICLR 2024 · 28 citations
- AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion TransformersSherwin Bahmani, Ivan Skorokhodov, Guocheng Qian, Aliaksandr Siarohin et al.CVPR 2025
- Laconic: A 3D Layout Adapter for Controllable Image CreationLéopold Maillard, Tom Durand, Adrien Ramanana Rahary, Maks OvsjanikovICCV 2025
- Modular-Cam: Modular Dynamic Camera-view Video Generation with LLMZirui Pan, Xin Wang, Yipeng Zhang, Hong Chen et al.AAAI 2025 · 6 citations
- CameraSquad: Achieving Content Consistency in Parallel Multi-Trajectory Camera-Controlled Video GenerationZhufeng Xu, Xuan Gao, Bailin Deng, Yikang Ding et al.SIGGRAPH 2026
