Differentiable Slang easily integrates with existing codebases—from Python, PyTorch, and CUDA to HLSL—to aid multiple computer graphics tasks and enable novel data-driven and neural research. In this post, we introduce several code examples using differentiable Slang to demonstrate the potential use across different rendering applications and the ease of integration. This is part of a series…
]]>NVIDIA just released a SIGGRAPH Asia 2023 research paper, SLANG.D: Fast, Modular and Differentiable Shader Programming. The paper shows how a single language can serve as a unified platform for real-time, inverse, and differentiable rendering. The work is a collaboration between MIT, UCSD, UW, and NVIDIA researchers. This is part of a series on Differentiable Slang. For more information about…
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