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Outline
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What is Novel View Synthesis?
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Stereo Magnification: Learning view synthesis using multiplane images, Zhou et al.
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Stereo Magnification: Multiplane Image
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DeepMVS: Learning multi-view stereopsis, Huang et al.
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DeepMVS: Patch Matching
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DeepMVS: Inter-Volume Feature Aggregation
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DeepMVS: Disparity Maps
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What is trying to be solved?
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Proposed Solution
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Proposed Architecture
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Estimating the Depth Probability Volume
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Depth Probability Distributions and Discontinuities
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Estimating Depth Probability of the Novel Vie
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Synthesis of a Novel View
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Artifacts Present After Synthesis
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Patch Warping
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Refinement Network Training
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Refinement Example
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Evaluation
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Quantitative Results
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Comparison to Stereo Magnification
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Comparison to Soft3D
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Limitations
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Conclusion
Description:
Explore the concept of extreme view synthesis in this 28-minute lecture from the University of Central Florida. Delve into novel view synthesis techniques, including stereo magnification and DeepMVS. Learn about multiplane images, patch matching, and inter-volume feature aggregation. Understand the challenges addressed by extreme view synthesis and examine the proposed solution and architecture. Discover methods for estimating depth probability volumes, handling depth discontinuities, and synthesizing novel views. Analyze artifacts in synthesized images and learn about patch warping and refinement techniques. Evaluate the approach through quantitative results and comparisons with other methods. Conclude by examining the limitations and potential applications of extreme view synthesis in computer vision and graphics.

Extreme View Synthesis: Novel Techniques and Challenges

University of Central Florida
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