Results 261 to 270 of about 25,108,907 (293)
A Foggy Weather Simulation Algorithm for Traffic Image Synthesis Based on Monocular Depth Estimation. [PDF]
Sensors (Basel)Tang M, Zhao Z, Qiu J.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
High-Resolution Image Synthesis with Latent Diffusion Models
Computer Vision and Pattern Recognition, 2021By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond. Additionally, their formulation allows for a guiding mechanism
Robin Rombach +4 more
semanticscholar +1 more source
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation
Annual Meeting of the Association for Computational Linguistics, 2023In the rapidly advancing field of conditional image generation research, challenges such as limited explainability lie in effectively evaluating the performance and capabilities of various models.
Max W.F. Ku +4 more
semanticscholar +1 more source
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
International Conference on Machine LearningDiffusion models create data from noise by inverting the forward paths of data towards noise and have emerged as a powerful generative modeling technique for high-dimensional, perceptual data such as images and videos.
Patrick Esser +16 more
semanticscholar +1 more source
Semantic Image Synthesis via Diffusion Models
IEEE transactions on multimedia, 2022Denoising Diffusion Probabilistic Models (DDPMs) have achieved remarkable success in various image generation tasks compared with Generative Adversarial Nets (GANs). Recent work on semantic image synthesis mainly follows the de facto GAN-based approaches,
Wen-Gang Zhou +6 more
semanticscholar +1 more source
Improved Distribution Matching Distillation for Fast Image Synthesis
Neural Information Processing SystemsRecent approaches have shown promises distilling diffusion models into efficient one-step generators. Among them, Distribution Matching Distillation (DMD) produces one-step generators that match their teacher in distribution, without enforcing a one-to ...
Tianwei Yin +6 more
semanticscholar +1 more source
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers
arXiv.orgWe introduce Sana, a text-to-image framework that can efficiently generate images up to 4096$\times$4096 resolution. Sana can synthesize high-resolution, high-quality images with strong text-image alignment at a remarkably fast speed, deployable on ...
En-Ze Xie +10 more
semanticscholar +1 more source
DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis
arXiv.orgDiffusion models have achieved great success in image generation, with the backbone evolving from U-Net to Vision Transformers. However, the computational cost of Transformers is quadratic to the number of tokens, leading to significant challenges when ...
Yao Teng +7 more
semanticscholar +1 more source
Improving Diffusion-Based Image Synthesis with Context Prediction
Neural Information Processing SystemsDiffusion models are a new class of generative models, and have dramatically promoted image generation with unprecedented quality and diversity. Existing diffusion models mainly try to reconstruct input image from a corrupted one with a pixel-wise or ...
Ling Yang +7 more
semanticscholar +1 more source
Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis
International Conference on Medical Image Computing and Computer-Assisted InterventionUnpaired medical image synthesis aims to provide complementary information for an accurate clinical diagnostics, and address challenges in obtaining aligned multi-modal medical scans.
Vu Minh Hieu Phan +8 more
semanticscholar +1 more source