Every paper, ordered by impact or potential impact. About SIGGRAPH 2023
| ID | Paper | Authors | Source | Date |
|---|---|---|---|---|
| 1 | 3D Gaussian Splatting for Real-Time Radiance Field Rendering IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We introduce three key elements that allow us to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time (≥ 30 fps) novel-view synthesis at 1080p resolution. | Bernhard Kerbl; Georgios Kopanas; Thomas Leimkuehler et al. | siggraph | 2023-07-26 |
| 2 | Nerfstudio: A Modular Framework for Neural Radiance Field Development IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In order to streamline the development and deployment of NeRF research, we propose a modular PyTorch framework, Nerfstudio. | Matthew Tancik; Ethan Weber; Evonne Ng et al. | siggraph | 2023-07-26 |
| 3 | Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Moreover, we find that in some cases the model also fails to correctly bind attributes (e.g., colors) to their corresponding subjects. To help mitigate these failure cases, we introduce the concept of Generative Semantic Nursing (GSN), where we seek to intervene in the generative process on the fly during inference time to improve the faithfulness of the generated images. | Hila Chefer; Yuval Alaluf; Yael Vinker et al. | siggraph | 2023-07-26 |
| 4 | Zero-shot Image-to-Image Translation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this work, we introduce pix2pix-zero, an image-to-image translation method that can preserve the original image’s content without manual prompting. | Gaurav Parmar; Krishna Kumar Singh; Richard Zhang et al. | siggraph | 2023-07-26 |
| 5 | Blended Latent Diffusion IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this paper, we present an accelerated solution to the task of local text-driven editing of generic images, where the desired edits are confined to a user-provided mask. | Omri Avrahami; Ohad Fried; Dani Lischinski; | siggraph | 2023-07-26 |
This page lists the papers of Special Interest Group on Computer GRAPHics and Interactive Techniques (SIGGRAPH 2023), ordered by impact or potential impact.