Forward function. This function has been integrated with the truncation trick. Please refer to the usage of `truncation` and `truncat

Forward function. Args: x (torch.Tensor): Input image tensor. Returns: torch.Tensor: Predict score for the i

Forward Function. Args: x (torch.Tensor): Input tensor with shape of (n, c, h, w). mask_in (torch.Tensor): Input tens

Forward function. Returns: Tensor: The output tensor of the decoder.

Forward Function. Args: x (torch.Tensor): Input tensor with shape of (n, c, h, w). Returns: torch.Tensor: Ou

Forward function. Args: x (torch.Tensor): This input tensor has the shape of (n, 5, h, w). In channel dimension,

Forward Function. Args: x (torch.Tensor): Input tensor with shape of (n, c, h, w). mask (torch.Tensor): Input tensor

Forward Function. Args: x (torch.Tensor): Input tensor with shape of (n, c, h, w). Returns: torch.Tensor: Ou

Forward function for partial conv encoder. Args: x (torch.Tensor): Masked image with shape (n, c, h, w). mask (torch.

Forward function. Args: x (Tensor): Input feature map with shape (N, C, H, W). Returns: tuple(Tensor): Encod

Forward function. Args: x (Tensor): Input feature map with shape (N, C, H, W). Returns: tuple(Tensor): Encod

Forward function. Args: x (Tensor): Input feature map with shape (N, C, H, W). Returns: Tensor: Output featu

Forward function. Args: x (Tensor): Input feature map with shape (N, C, H, W). Returns: dict: Output tensor,

Forward Function. Args: x (torch.Tensor): Input tensor with shape of (n, c, h, w). Returns: torch.Tensor: Ou

Forward Function. Args: x (torch.Tensor): Input tensor with shape of (n, c, h, w). Returns: torch.Tensor: Ou

Forward function for ASPP module. Args: x (Tensor): Input tensor with shape (N, C, H, W). Returns: dict: Dic

Forward function. Args: x (Tensor): Input tensor with shape (N, C, H, W). Returns: Tensor: Output tensor.

Forward function. Args: x (Tensor): Input tensor with shape (N, C, H, W). Returns: dict: Contains the output

Forward function. Args: x (Tensor): Input tensor with shape (N, C, H, W). Returns: dict: Contains the output

Forward function. Args: x (Tensor): Input tensor with shape (N, C, H, W). Returns: Tensor: Output tensor.

Forward function.

Forward function. Args: x (Tensor): Input tensor with shape (N, C, H, W). Returns: Tensor: Output tensor.

Forward Function. Args: x (Tensor): Input tensor with shape of (n, c, h, w). Returns: Tensor: Output tensor

Forward Function. Args: x (Tensor): Input tensor with shape of (n, c, h, w). Returns: Tensor: Output tensor

Forward function. Args: x (Tensor): Input tensor with shape (N, C, H, W). Returns: Tensor: Output tensor.

Forward function of resnet shortcut decoder. Args: inputs (dict): Output dictionary of the ResNetEnc containing: -

Forward function of resnet shortcut decoder. Args: inputs (dict): Output dictionary of the ResGCAEncoder containing:

Forward Function. Args: input_dict (dict | torch.Tensor): Input dict with middle features or torch.Tensor.

Forward function. Args: inputs (dict): Output dict of FbaEncoder. Returns: Tensor: Predicted alpha, fg and bg

Forward function. Args: x (Tensor): Input feature map with shape (N, C, H, W). shortcut (Tensor): The shortcut connec

Forward function. Args: inputs (dict): Output dict of IndexNetEncoder. Returns: Tensor: Predicted alpha matt

Forward function of MaxUnpool2dop. Args: input (Tensor): Tensor needed to upsample. indices (Tensor): Indices output

Forward function of MaxUnpool2d. Args: input (Tensor): Tensor needed to upsample. indices (Tensor): Indices output of

Forward function of PlainDecoder. Args: inputs (dict): Output dictionary of the VGG encoder containing: - out (Ten

Forward Function. Args: x (torch.Tensor): Input tensor with shape of (n, c, h, w). Returns: torch.Tensor: Ou

Forward Function. Args: input_dict (dict | torch.Tensor): Input dict with middle features or torch.Tensor.

Args: tensor_input (Tensor): Input tensor with shape (b, 8, h, w). 8 channels contain: [reference

Args: ref (Tensor): Reference image with shape of (b, 3, h, w). supp: The supporting image to be warped: (b, 3, h, w)

Args: lrs: Input lr frames: (b, 7, 3, h, w). Returns: Tensor: SR frame: (b, 3, h, w).

Forward function for IconVSR. Args: lrs (Tensor): Input LR tensor with shape (n, t, c, h, w). Returns: Tensor

Forward function for EDVRFeatureExtractor. Args: x (Tensor): Input tensor with shape (n, t, 3, h, w). Returns:

Forward function for TDANNet. Args: lrs (Tensor): Input LR sequence with shape (n, t, c, h, w). Returns: tup

Forward function. Args: x: input tensor. coord (Tensor): coordinates tensor. cell (Tensor): cell tensor.

Forward function for BasicVSR++. Args: lqs (tensor): Input low quality (LQ) sequence with shape (n, t, c, h, w).

Forward function for BasicVSR. Args: lrs (Tensor): Input LR sequence with shape (n, t, c, h, w). Returns: Te

Forward function for ResidualBlocksWithInputConv. Args: feat (Tensor): Input feature with shape (n, in_channels, h, w) R

Forward function of SPyNet. This function computes the optical flow from ref to supp. Args: ref (Tensor): Reference imag

Args: tensor_input (Tensor): Input tensor with shape (b, 8, h, w). 8 channels contain: [reference

Forward function. Args: x (Tensor): Input tensor with shape (n, c, h, w). Returns: Tensor: Forward results.

Forward function. Args: x (Tensor): Input tensor with shape (n, c, h, w). Returns: Tensor: Forward results.

Forward function. Args: x1 (Tensor): Input tensor with shape (n, c, h, w). x2 (Tensor): Input tensor with shape (n, c

Forward function. Args: x1 (Tensor): Input tensor with shape (n, c, h, w). x2 (Tensor): Input tensor with shape (n, c

Forward function. Args: x1 (Tensor): Input tensor with shape (n, c, h, w). x2 (Tensor): Input tensor with shape (n, c

Forward function. Args: x (Tensor): Input tensor with shape (n, c, h, w). soft_attention (Tensor): Soft-Attention ten

Forward function. Args: x (Tensor): Input tensor with shape (n, c, h, w). Returns: Tensor: Forward results.

Forward function. Args: x (Tensor): Input tensor with shape (n, c, h, w). Returns: Tensor: Forward results.

Forward function. Args: lq (Tensor): Input LR image with shape (n, c, h, w). Returns: Tensor: Output HR imag

Forward function. Args: x (Tensor): Input tensor with shape (n, c, h, w). Returns: Tensor: Forward results.

Forward function. Args: x (Tensor): Input tensor with shape (n, c_in, h, w). Returns: Tensor: Forward result

Forward function. Args: x (Tensor): Input tensor with shape (n, c, h, w). Returns: Tensor: Forward results.

Forward function. Args: x (Tensor): Input tensor with shape (n, c, h, w). Returns: Tensor: Forward results.

Forward function for DynamicUpsamplingFilter. Args: x (Tensor): Input image with 3 channels. The shape is (n, 3, h, w).

Forward function. Args: x (Tensor): Input tensor with shape (n, c, h, w). Returns: Tensor: Forward results.

Forward function. Args: x (Tensor): Input tensor with shape (n, c, h, w). Returns: Tensor: Forward results.

Forward function. Args: x (Tensor): Input tensor with shape (n, c, h, w). Returns: Tensor: Forward results.

Forward function for PCDAlignment. Align neighboring frames to the reference frame in the feature level. Args: neighbor_

Forward function for TSAFusion. Args: aligned_feat (Tensor): Aligned features with shape (n, t, c, h, w). Returns:

Forward function for EDVRNet. Args: x (Tensor): Input tensor with shape (n, t, c, h, w). Returns: Tensor: SR

Forward function. Args: x (Tensor): Input tensor with shape (n, c, h, w). Returns: Tensor: Forward results.

Forward function. Args: x (Tensor): Input tensor with shape (n, c, h, w). Returns: Tensor: Forward results.

Forward function. Args: feature (Tensor): Input feature tensor. heatmap (Tensor): Input heatmap tensor. Retu

Forward function. Args: x (Tensor): Input feature tensor. heatmap (Tensor): Input heatmap tensor. Returns:

Forward function. Args: x (Tensor): Input tensor. Returns: Tensor: Forward results. sr_outputs (

Forward function. Args: x (Tensor): Input tensor with shape (n, c, h, w). Returns: Tensor: Forward results.

Forward function. Args: x (Tensor): Input tensor with shape (n, c, h, w). Returns: Tensor: Forward results.

Args: tensor_input (Tensor): Input tensor with shape (b, 8, h, w). 8 channels contain: [reference

Args: ref (Tensor): Reference image with shape of (b, 3, h, w). supp: The supporting image to be warped: (b, 3, h, w)

Args: frames (Tensor): Tensor with shape of (b, 2, 3, h, w). Returns: Tensor: Interpolated frame with shape

Args: inputs: Input frames with shape of (b, 2, 3, h, w). Returns: Tensor: Interpolated frame with shape of