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High-quality HDRIs(High Dynamic Range Images), typically HDR panoramas, are one of the most popular ways to create photorealistic lighting and 360-degree reflections of 3D scenes in graphics.
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
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Dynamic range reduction inspired by photoreceptor physiology
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Inverse tone mapping. In Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia - GRAPHITE ’06 . ACM Press, Kuala Lumpur, Malaysia, 349
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Denoising Diffusion Probabilistic Models
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Adam: A method for stochastic optimization
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Scale-invariant convolutional neural networks
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Improved techniques for training gans
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HDR image reconstruction from a single exposure using deep CNNs
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Learning to predict indoor illumination from a single image
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GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium. In Advances in Neural Information Processing Systems , I. Guyon, U. Von Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.), Vol. 30. Curran Associates, Inc
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Image-to-image translation with conditional adversarial networks. In Proceedings of the IEEE conference on computer vision and pattern recognition . 1125–1134
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Enhanced deep residual networks for single image super-resolution. In Proceedings of the IEEE conference on computer vision and pattern recognition workshops . 136–144
Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Learning High Dynamic Range from Outdoor Panoramas. In 2017 IEEE International Conference on Computer Vision (ICCV) . IEEE, Venice, 4529–4538
Jinsong Zhang and Jean-Francois Lalonde. 2017 · 2017
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Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range Image
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Neural Discrete Representation Learning
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The unreasonable effectiveness of deep features as a perceptual metric. In Proceedings of the IEEE conference on computer vision and pattern recognition . 586–595
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A Style-Based Generator Architecture for Generative Adversarial Networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 4401–4410
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COCO-GAN: Generation by Parts via Conditional Coordinating. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)
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Demetris Marnerides, Thomas Bashford-Rogers, Jonathan Hatchett, and Kurt Debattista. 2019 · 2019
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On the spectral bias of neural networks. In International Conference on Machine Learning . PMLR, 5301–5310
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Generating diverse high-fidelity images with vq-vae-2
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Hierarchical patch vae-gan: Generating diverse videos from a single sample
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Zero-Shot Text-to-Image Generation
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High-Resolution Image Synthesis with Latent Diffusion Models
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StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis
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Aligning Latent and Image Spaces to Connect the Unconnectable. In 2021 IEEE/CVF International Conference on Computer Vision (ICCV) . IEEE, Montreal, QC, Canada, 14124–14133
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Deep Learning for HDR Imaging: State-of-the-Art and Future Trends
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Cited alongside, same era.
Jsi-gan: Gan-based joint super-resolution and inverse tone-mapping with pixel-wise task-specific filters for uhd hdr video. In Proceedings of the AAAI Conference on Artificial Intelligence . 11287–11295
Soo Ye Kim, Jihyong Oh, and Munchurl Kim. 2020 · 2020
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Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P. Breckon, and Chris G. Willcocks. 2021 · 2021
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HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset. In 2021 IEEE/CVF International Conference on Computer Vision (ICCV) . IEEE, Montreal, QC, Canada, 2482–2491
Guanying Chen, Chaofeng Chen, Shi Guo, Zhetong Liang, Kwan-Yee K. Wong, and Lei Zhang. 2021 · 2021
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Cogview: Mastering text-to-image generation via transformers
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, et al · 2021
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Taming transformers for high-resolution image synthesis. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 12873–12883
Patrick Esser, Robin Rombach, and Bjorn Ommer. 2021 · 2021
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Multimodal Conditional Image Synthesis with Product-of-Experts GANs
Xun Huang, Arun Mallya, Ting-Chun Wang, and Ming-Yu Liu. 2021 · 2021
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Alias-Free Generative Adversarial Networks. In Advances in Neural Information Processing Systems , M. Ranzato, A. Beygelzimer, Y. Dauphin, P.S. Liang, and J. Wortman Vaughan (Eds.), Vol. 34. Curran Associates, Inc., 852–863
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Lin Wang and Kuk-Jin Yoon. 2021 · 2021
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Wei Wei, Li Guan, Yue Liu, Hao Kang, Haoxiang Li, Ying Wu, and Gang Hua. 2021 · 2021
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Luminance Attentive Networks for HDR Image and Panorama Reconstruction
Hanning Yu, Wentao Liu, Chengjiang Long, Bo Dong, Qin Zou, and Chunxia Xiao. 2021 · 2021
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Retrieval-Augmented Diffusion Models
Andreas Blattmann, Robin Rombach, Kaan Oktay, and Björn Ommer. 2022 · 2022
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MaskGIT: Masked Generative Image Transformer
Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, and William T. Freeman. 2022 · 2022
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Relighting4D: Neural Relightable Human from Videos. In Proceedings of the European Conference on Computer Vision (ECCV)
Zhaoxi Chen and Ziwei Liu. 2022 · 2022
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AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
Fangzhou Hong, Mingyuan Zhang, Liang Pan, Zhongang Cai, Lei Yang, and Ziwei Liu. 2022 · 2022
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Text2Human: Text-Driven Controllable Human Image Generation
Yuming Jiang, Shuai Yang, Haonan Qiu, Wayne Wu, Chen Change Loy, and Ziwei Liu. 2022 · 2022
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DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
Gwanghyun Kim, Taesung Kwon, and Jong Chul Ye. 2022 · 2022
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GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen. 2022 · 2022
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Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
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CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP
Zihao Wang, Wei Liu, Qian He, Xinglong Wu, and Zili Yi. 2022a · 2022
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LAFITE: Towards Language-Free Training for Text-to-Image Generation
Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, and Tong Sun. 2022 · 2022
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