Ruofan Liang (若凡, RF)
Ph.D. Candidate |
About
I am a 4th-year PhD student at the University of Toronto, supervised by Prof. Nandita Vijaykumar.
Concurrently, I am also affiliated with the Vector Institute.
I am current work as a research intern at Nvidia Toronto AI Lab.
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Research
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering
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SCAR: Sub-Core and Atomic-Unit Collaborative Reduction for Efficient Raster-based Differentiable Rendering
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GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting
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ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting
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SPIDR: SDF-based Neural Point Fields for Illumination and Deformation | |
CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture | |
Knowledge Consistency between Neural Networks and Beyond |
Previous Projects
Accel-RF | |
FPGA RAM Mapper | |
Tetris-RL | |
Accel-Video Pipe (AVPipe) |
Miscellaneous
I am a geek always excited to discover something Fun.
Now, I am still on my long long way to obtaining knowledge & experience,
hoping to exploit my potential.
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Put on a happy face🙃~ |