The license agreement

By L. Plonsker. 2002

326 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/b7c6192155c5aaf76659355d111b55bc7fe911bd

Citations in the corpus

• UCF: Uncovering Common Features for Generalizable Deepfake Detection (2023, unknown): “…0.646 0.646 VA-MLP [32] FF++ 0.550 - Multi-task [33] FF++ 0.543 - Headpose [52] UADFV 0.546 - Capsule [34] FF++ 0.575 0.575 SMIL [24] FF++ 0.563 0.563 Two-branch [31 operate in the entire feature space, which inevitably includes these unrelated aspects (similarly indicated in previous work [54]).”
• Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions (2023, unknown): “Physical Editing of NeRFs NeRFs [26] are a popular approach for generating photorealistic novel views of a scene captured by calibrated photographs and have been extended in many follow-up works [42].”
• Text-to-3D using Gaussian Splatting (2023, unknown): “Early efforts in text-to-3D generation, including CLIP-forge [59], Dream Fields [29], Text2Mesh [42], TANGO [14], CLIPNeRF [72], and CLIP-Mesh [32], harness CLIP [53] guidance to create 3D assets.”
• An OpenMind for 3D Medical Vision Self-supervised Learning (2024, unknown): “Aside from this, the development datasets are used to determine the optimal fine-tuning schedules, hence results of the optimal fine-tuning schedules are reported on the validation split of the dataset (Tab.”