P40
| ID | Year | Name | Note | Tags | Link |
|---|---|---|---|---|---|
| 2024b | Unique3D | ||||
| 2023 | Novel View Synthesis with Diffusion Models | Sample based on stochastic conditions, allowing the use of multiple conditional frames. ✅ UNet,2 branch,分别用于原始角度和要生成的角度。 ✅ 引入 step 2 是为了内容一致性。 ✅ frame:坐标系。在不同的坐标系下看到的是不同的视角。 ❓ 为什么有两个pose? ✅ 每个 frame 的内部由 cross-attention 连接。 | - Condition on a frame and two poses, predict another frame. UNet with frame cross-attention ![]() | 3Dim | |
| 2024 | CAT3D | ||||
| 2023 | Generative Novel View Synthesis with 3D-Aware Diffusion Models | - 3D-aware architecture with latent feature field. - Use diffusion model to improve render quality based on structure. ✅ (1) 生成 feature field (2) render 其中一个视角 (3) 优化渲染效果 ✅ (2) 是 MLP (3) 是 diffusion. | ![]() | GenVS |
本文出自CaterpillarStudyGroup,转载请注明出处。
https://caterpillarstudygroup.github.io/ImportantArticles/

