in the pixel space. Furthermore, although latent-based generative methods have shown great success in recent years, this particular model type remains underexplored in this area. In this work, we propose to apply flow matching in the latent spaces of pretrained autoencoders, which offers improved...
Star Here are 160 public repositories matching this topic... Language:All Sort:Most stars langflow-ai/langflow Star40.4k Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database. ...
trange(n_iters) for _ in pbar: x = self.array2tensor(ps.sample(batch_size)) #这个时候x的维度为(batch_size,2),为batzh_size个图像像素点坐标归一化后的位置 z = torch.randn_like(x) #依据x的维度产生相同维度的在标准正态分布上采样的结果,是我们的latent space上的初始构象 loss = F.l1_...
Thiswork introduces a unif ied pyramidal f l ow matching algorithm. It reinterprets theoriginal denoising trajectory as a series of pyramid stages, where only the f inalstage operates at the full resolution, thereby enabling more eff icient video gener-ative modeling. Through our sophisticated ...
Optical flow annotation requires having a full matching of all points in the latent 3D space for each image pair before projecting into the image space. For example, to construct the KITTI datasets (Geiger et al., 2012, Menze and Geiger, 2015), the point clouds from 10 consecutive frames ...
To allow for large motion, we measure the similarity in the latent space of features F and G instead of in the physical space. Hence, we find the corresponding points in X and Y as: Xc := YD, dij := softmax(− 1 τflow fi − gj 2) (10) where τflow is again a ...
latent spaces using regression models. The proposed framework achieves a relative error of 2% on average and 12% in the worst-case scenario (i.e., the training data is small, but the parameter space is large.). We also show that our framework provides a speed-up oftimes, in the best ...
an atom with a high buried volume. We note that in Fig.5a,bthe surrogate model correctly predicts that the spin is predominantly focused on the location of highest buried volume, matching DFT results, even though the radical centre is formally specified at a different atom in the SMILES ...
Code of Pyramidal Flow Matching for Efficient Video Generative Modeling pyramid-flow.github.io/ License MIT license 0 stars 250 forks Branches Tags Activity Star Notifications Mr-Harry/Pyramid-Flow main 1 Branch0 Tags Code This branch is 2 commits behind jy0205/Pyramid-Flow:main. Folders...
By contrast, our method harnesses the flexibility of flow matching (Lipman et al., 2023; Liu et al., 2023; Albergo & Vanden-Eijnden, 2023) to interpolate between latents of different resolutions and noise levels, allowing for simultaneous generation and decompression of visual content with ...