Text-Guided Video Generation with Key-View Interpolation
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Solution Overview
Problem
Conventional video generation models face challenges with long processing times and inconsistency in generating videos from different view angles due to extensive inpainting of intermediate images, leading to temporal and image inconsistencies.
Innovation Solution
The proposed method reduces processing time and enhances consistency by inpainting only two key images and interpolating intermediate frames based on these key images, using a machine learning model to generate videos with changing view angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If extensive inpainting is performed on intermediate images to generate videos from different view angles, then the video generation model can produce videos with varying camera angles, but the processing time becomes very long and temporal inconsistencies occur
Solution Approach 1:
The patent segments the video generation process into two distinct stages: (1) generating key frame images at different view angles using the image generation model, and (2) interpolating intermediate frames between key frames using optical flow and warping techniques. This segmentation eliminates the need for extensive inpainting of all intermediate images, significantly reducing processing time while maintaining view angle versatility.
Solution Approach 2:
The patent performs preliminary action by generating key frame images at different view angles before creating intermediate frames. By pre-computing the key frames with proper perspective transformations and depth information, the system avoids the need for time-consuming inpainting operations on all intermediate frames, thus reducing overall processing time.
2Adaptability or versatility
If extensive inpainting is performed on intermediate images to generate videos from different view angles, then the video generation model can produce videos with varying camera angles, but image inconsistencies occur
Solution Approach 1:
The patent introduces depth information as an additional dimension to solve the image consistency problem. By estimating depth maps for key frames and using this depth information during optical flow computation and warping operations, the system maintains proper perspective relationships and object consistency across different view angles, eliminating inconsistencies that would otherwise require extensive inpainting.
Solution Approach 2:
The patent uses optical flow fields and depth maps as intermediary representations to transform key frames into intermediate frames. These intermediaries encode the motion and perspective information needed to generate consistent intermediate views without requiring direct inpainting operations, thus maintaining image consistency while enabling view angle variation.
3Reliability
If conventional video generation models process all intermediate images through inpainting, then complete video frames can be generated, but the processing complexity and time increase significantly
Solution Approach 1:
The patent applies partial action by performing inpainting only on key frames rather than all intermediate frames. The intermediate frames are generated through optical flow warping and perspective transformation, which are computationally more efficient than inpainting. This partial application of the computationally intensive inpainting operation maintains video frame completeness while significantly improving processing efficiency.
Data Source
AI summary
A method, apparatus, non-transitory computer readable medium, and system for video generation include obtaining an input image having an element depicted in a first view angle, generating a synthetic image depicting the element of the input image from a second view angle different from the first view angle, generating an intermediate image by interpolating based on the synthetic image, and generating a video based on the synthetic image and the intermediate image, where the video depicts the element of the input image from a changing view angle.