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conftrace_

differentiable rendering

315 papers

DR

Papers

LTM: Lightweight Textured Mesh Extraction and Refinement of Large Unbounded Scenes for Efficient Storage and Real-time Rendering CVPR 2024 Multi-task Learning with 3D-Aware Regularization ICLR 2024 NeISF: Neural Incident Stokes Field for Geometry and Material Estimation CVPR 2024 Neural 3D Strokes: Creating Stylized 3D Scenes with Vectorized 3D Strokes CVPR 2024 Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis WACV 2024 Optimize & Reduce: A Top-Down Approach for Image Vectorization AAAI 2024 PhyRecon: Physically Plausible Neural Scene Reconstruction NeurIPS 2024 Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models CVPR 2024 QUADify: Extracting Meshes with Pixel-level Details and Materials from Images CVPR 2024 R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction NeurIPS 2024 Relightable and Animatable Neural Avatar from Sparse-View Video CVPR 2024 Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction CoRL 2024 Specular Object Reconstruction Behind Frosted Glass by Differentiable Rendering WACV 2024 Subsurface Scattering for Gaussian Splatting NeurIPS 2024 SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering WACV 2024 Tetrahedron Splatting for 3D Generation NeurIPS 2024 Towards Realistic Generative 3D Face Models WACV 2024 TutteNet: Injective 3D Deformations by Composition of 2D Mesh Deformations CVPR 2024 UniPAD: A Universal Pre-training Paradigm for Autonomous Driving CVPR 2024 VINECS: Video-based Neural Character Skinning CVPR 2024 3D Shape Reconstruction of Semi-Transparent Worms CVPR 2023 Accidental Light Probes CVPR 2023 A Theory of Topological Derivatives for Inverse Rendering of Geometry ICCV 2023 A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance CVPR 2023 Chasing Clouds: Differentiable Volumetric Rasterisation of Point Clouds as a Highly Efficient and Accurate Loss for Large-Scale Deformable 3D Registration ICCV 2023