[ECCV 2024] EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion. - echoscene/model/EchoScene.py at main · ymxlzgy/echoscene
Unfortunately, the task-dependent conditioning mechanism in TADAM requires learning of extra fully connected networks while the projection space in TapNet is solved through the singular value decomposition (SVD) step; both strategies significantly increase training time. Taking inspiration from Transformer [...
图2:Diffusion Transformer (DiT) 架构 In-Context Conditioning 像这样的带条件输入的情况,In-context conditioning 的做法只需要将时间步长,类标签作为2个额外的 token 附加到输入的序列中。作者将它们视为与图像的 token 没有任何区别。这就有点...
We can then score the quality of this rendered image given some conditioning text y by evaluating the score function of a noised version of the image zt=αtx+σtϵ using the pretrained diffusion model ϵ^(zt;y,t). We update the parameters of the 3D representation using ...
Thinking fourth dimensionally: Treating Time as a Random Variable in EBMs 3 『在CV、NLP领域的应用』 Novel View Synthesis with Diffusion Models Pyramidal Denoising Diffusion Probabilistic Models Compositional Image Generation and Manipulation with Late...
1ength basis长度基准 1H-NMR氢谱 2D-NMR二维核磁共振谱:2D-NMR 3D-spectrochromatogram三维光谱-波谱图 a stream of nitrogen氮气流 a wide temperature range宽的温度范围 absolute detector response检测器绝对响应(值) absolute entropy绝对熵 absolute error绝对误差 ...
In this paper, we present the GPT-GNN framework to initialize GNNs by generative pre-training. GPT-GNN introduces a self-supervised attributed graph generation task to pre-train a GNN so that it can capture the struc...
Sequence to sequence text generation with diffusion models Tailoring Language Generation Models under Total Variation Distance Language Models Can See: Plugging Visual Controls in Text Generation Distribution Aware Metrics for Conditional Natural Language...