Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene | Paper Citation Record

Observation 686bd8fd-78bc-4c38-bbda-16b7b19a7bb0 · outbound

This paper cites Learning representations and generative models for 3d point clouds.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Learning representations and generative models for 3d point clouds

Reference 1

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Observation 6fc25776-a611-4f1d-a19e-9a786a49acfc · outbound

This paper cites Domain-Adversarial Neural Networks.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Domain-Adversarial Neural Networks

Reference 2

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Observation 46a425fe-bd6d-4204-85d3-73730dcf5979 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

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Observation ab976c2e-3e77-4ea3-a89b-8f3b5cff615e · outbound

This paper cites Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields

Reference 4

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Observation 36cbbd26-6be7-432c-84f7-0a4300e009c5 · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 5

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Observation 50102ad0-97cb-4003-a782-7b2ae389beef · outbound

This paper cites Also: Automotive lidar self- supervision by occupancy estimation.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Also: Automotive lidar self- supervision by occupancy estimation

Reference 6

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Observation 50d302dc-bcfe-41f6-84ca-1884efdde1af · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene nuscenes: A multimodal dataset for autonomous driving

Reference 7

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Observation 39209e67-a67a-489c-84be-950602668d61 · outbound

This paper cites F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds

Reference 8

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Observation b964fe01-d3b5-479c-b582-cba50493b12a · outbound

This paper cites Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds

Reference 9

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Observation 72be3715-5bec-446e-82d8-3739eaebe541 · outbound

This paper cites Multi-view 3d object detection network for autonomous driv- ing.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Multi-view 3d object detection network for autonomous driv- ing

Reference 10

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Observation a670f988-3993-4df4-94a1-7ae531bff130 · outbound

This paper cites Depth-supervised nerf: Fewer views and faster training for free.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Depth-supervised nerf: Fewer views and faster training for free

Reference 11

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Observation 29e65c1d-3ceb-49b7-97da-5f95a12925a2 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Diffusion models beat gans on image synthesis

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T14:45:08.412230Z

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Observation 25d6e9e7-f248-455c-aaaa-aacf9b7a9c05 · outbound

This paper cites Cogview: Mastering text-to-image generation via transformers.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Cogview: Mastering text-to-image generation via transformers

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T14:45:08.417728Z

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Observation ad5c8424-83a0-49af-b375-9e1204618f38 · outbound

This paper cites CARLA: An open urban driving simulator.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene CARLA: An open urban driving simulator

Reference 14

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Observation dc13f087-ffca-47a9-b0d0-07e531ea9f86 · outbound

This paper cites A point set generation network for 3d object reconstruction from a single image.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene A point set generation network for 3d object reconstruction from a single image

Reference 15

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Observation 4b87c3ea-3351-47d7-9933-f3fadb6959ef · outbound

This paper cites Training-free structured diffusion guidance for compositional text-to-image synthesis.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Training-free structured diffusion guidance for compositional text-to-image synthesis

Reference 16

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Observation 88716f9b-9576-439c-b88c-fd5c01c540c8 · outbound

This paper cites Make-a-scene: Scene-based text-to-image generation with human priors.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Make-a-scene: Scene-based text-to-image generation with human priors

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T14:45:08.439720Z

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Observation 7ebd00e4-3422-4dd5-aae3-e729275e16b0 · outbound

This paper cites Unsupervised domain adaptation by backpropagation.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Unsupervised domain adaptation by backpropagation

Reference 18

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Observation 42b73fe8-0548-4dc3-9933-eb01d57371a3 · outbound

This paper cites Domain-adversarial training of neural networks.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Domain-adversarial training of neural networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.897808Z

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Observation 9b16e0e2-daf2-48d3-9551-01281dca37ea · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.881745Z

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Observation f53ec97a-0832-4981-acc7-a944a0a6291e · outbound

This paper cites Generative adversarial nets.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Generative adversarial nets

Reference 21

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Observation d574bbe2-adb6-4412-879b-d5be4713b75f · outbound

This paper cites Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.852910Z

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Observation 20f46b65-5b94-4b30-b650-f59366bab9d7 · outbound

This paper cites Prompt-to-prompt image editing with cross-attention control.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Prompt-to-prompt image editing with cross-attention control

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.836210Z

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Observation 51eacf7a-5172-48e0-8500-ed98d145f41a · outbound

This paper cites Denoising diffu- sion probabilistic models.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Denoising diffu- sion probabilistic models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.818978Z

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Observation 36abcf3e-8419-4bc2-8544-7e85d406062a · outbound

This paper cites Rangeldm: Fast realistic lidar point cloud generation.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Rangeldm: Fast realistic lidar point cloud generation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.803185Z

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Observation 06e4a688-ef80-4995-8d9d-554f41ef57e9 · outbound

This paper cites Where2comm: Communication-efficient collaborative perception via spatial confidence maps.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Where2comm: Communication-efficient collaborative perception via spatial confidence maps

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.787241Z

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Observation c1a8c296-ed1e-49fb-a1e2-eea87094f7d2 · outbound

This paper cites Neural lidar fields for novel view synthesis.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Neural lidar fields for novel view synthesis

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.769524Z

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Observation 4165add5-4e4a-43d4-b7a5-e87c7971ef36 · outbound

This paper cites Image-to-image translation with conditional adversarial net- works.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Image-to-image translation with conditional adversarial net- works

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.751722Z

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Observation 8ed15acd-deee-4db6-8253-c437ffad775f · outbound

This paper cites Categorical reparam- eterization with gumbel-softmax.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Categorical reparam- eterization with gumbel-softmax

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.734478Z

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Observation 2b22099f-6a24-4a9f-9384-32f262e54146 · outbound

This paper cites Variational diffusion models.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Variational diffusion models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.717787Z

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Observation fd2a398b-e5de-458c-98c5-0cd0c0c535ee · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Pointpillars: Fast encoders for object detection from point clouds

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.701358Z

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Observation aa0ac851-8da9-4e46-bcdb-f10931b1fc21 · outbound

This paper cites Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.684744Z

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Observation 36b88de8-c2f3-46ec-a663-0b2cebaaf53e · outbound

This paper cites Controlnet++: Improv- ing conditional controls with efficient consistency feedback.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Controlnet++: Improv- ing conditional controls with efficient consistency feedback

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.664621Z

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Observation e2861381-92c3-4526-b970-f5fca7c3f5ea · outbound

This paper cites Learning distilled collaboration graph for multi-agent perception.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Learning distilled collaboration graph for multi-agent perception

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.644628Z

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Observation eaed50bf-2c97-43f1-b4ac-733363ec8876 · outbound

This paper cites V2x-sim: Multi-agent collab- orative perception dataset and benchmark for autonomous driving.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene V2x-sim: Multi-agent collab- orative perception dataset and benchmark for autonomous driving

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.624369Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e56626e1-5bc3-4bc8-8724-b0b4f79a739f · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.605374Z

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Observation c82826d2-8987-48d3-a56e-d5bfb7e38c4c · outbound

This paper cites Geometric GAN.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Geometric GAN

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T14:45:08.696521Z

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Observation 44fc1127-16f4-488c-8af3-a6c96ed264af · outbound

This paper cites When2com: Multi-agent perception via communication graph grouping.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene When2com: Multi-agent perception via communication graph grouping

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.582630Z

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Observation eec69b49-5442-40f7-823e-2f9485c5594d · outbound

This paper cites Learning transferable features with deep adaptation networks.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Learning transferable features with deep adaptation networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.552192Z

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Observation 6c927fd5-f201-4ddf-ad7e-f0e8ec33d4fc · outbound

This paper cites V oxnet: A 3d convo- lutional neural network for real-time object recognition.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene V oxnet: A 3d convo- lutional neural network for real-time object recognition

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.528427Z

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Observation e2a2e1e1-d8dc-4715-9ac8-5f96ed1db818 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthe- sis.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Nerf: Representing scenes as neural radiance fields for view synthe- sis

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.509180Z

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Observation 0afa279a-6447-443d-89c0-2455a8510e01 · outbound

This paper cites Rangenet++: Fast and accurate lidar semantic segmenta- tion.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Rangenet++: Fast and accurate lidar semantic segmenta- tion

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.450866Z

Source-reported events for the cited work

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Observation eb18b9f3-e387-48d5-8640-12ffc75294cc · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.349002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f581d585-ad3e-4e62-bf4a-f0ce9f25c4b9 · outbound

This paper cites Lidar data synthesis with denoising diffusion probabilistic models.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Lidar data synthesis with denoising diffusion probabilistic models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.202185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9d8f8d57-ce5f-418f-b1c2-dc341780ad6d · outbound

This paper cites Glide: Towards photorealistic image genera- tion and editing with text-guided diffusion models.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Glide: Towards photorealistic image genera- tion and editing with text-guided diffusion models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.148074Z

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Observation 64731163-a1eb-44a2-a4c7-be46a766d2f7 · outbound

This paper cites To- wards open-world segmentation of parts.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene To- wards open-world segmentation of parts

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.111345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e6b251b8-a7e8-4a77-9de2-3217711a80a2 · outbound

This paper cites Pre-training lidar-based 3d object detectors through colorization.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Pre-training lidar-based 3d object detectors through colorization

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.083984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c8654259-4b59-45e9-af7e-82b70eb0159c · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.059290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c2ac0904-9ea1-4ebb-aca9-1e3707b992ab · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.033063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f4691612-d187-478d-807d-0cdfcdba0f27 · outbound

This paper cites Zero-shot text-to-image generation.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Zero-shot text-to-image generation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:12.010482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da6448e7-e031-4d79-8ce4-53b259e83abd · outbound

This paper cites Towards realistic scene generation with lidar diffusion models.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Towards realistic scene generation with lidar diffusion models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.988593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e79c6f2f-a8fb-4b2c-b2ad-db950adff74d · outbound

This paper cites Collabora- tive automated driving: A machine learning-based method to enhance the accuracy of shared information.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Collabora- tive automated driving: A machine learning-based method to enhance the accuracy of shared information

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.967648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f86ee96-cd8d-4543-8472-29bf2fd3257c · outbound

This paper cites Dense depth priors for neural radiance fields from sparse input views.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Dense depth priors for neural radiance fields from sparse input views

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.946397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3836e479-99f3-40f8-b8d6-e85d89f3d19f · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene High-resolution image synthesis with latent diffusion models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.921596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 10bbe732-c4bc-4eff-931e-a56c940347a2 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene U-net: Convolutional networks for biomedical image segmentation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.899639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 40635818-729e-4615-933f-6d4f6b310cb1 · outbound

This paper cites Focal loss for dense object detection.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Focal loss for dense object detection

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.821749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62e064d7-3728-4460-b74e-752b340e0afb · outbound

This paper cites Pho- torealistic text-to-image diffusion models with deep language understanding.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Pho- torealistic text-to-image diffusion models with deep language understanding

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.743688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 896774d0-a7b3-4709-9442-5d02350fd979 · outbound

This paper cites Pointr- cnn: 3d object proposal generation and detection from point cloud.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Pointr- cnn: 3d object proposal generation and detection from point cloud

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.671007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9ba34ebe-6a05-4bde-b382-d812a5a1a3fb · outbound

This paper cites 3d point cloud generative adversarial network based on tree struc- tured graph convolutions.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene 3d point cloud generative adversarial network based on tree struc- tured graph convolutions

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.605046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ec6615d1-b308-4c02-ad9a-92be15a0df10 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Deep unsupervised learning using nonequilibrium thermodynamics

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.582356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f9ee134a-245b-4c14-bd54-c79e478ce116 · outbound

This paper cites Denoising diffusion implicit models.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Denoising diffusion implicit models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T14:45:09.135243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06e020e9-3747-46b1-8f0d-81af318a5655 · outbound

This paper cites Deep coral: Correlation alignment for deep domain adaptation.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Deep coral: Correlation alignment for deep domain adaptation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.535169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 169654c2-9317-49a7-a7cf-994bd28e4987 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Scalability in perception for autonomous driving: Waymo open dataset

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.511156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f433a60-ea9a-470c-be0c-3b41c9baf45e · outbound

This paper cites Lidar-nerf: Novel lidar view synthesis via neural radiance fields.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Lidar-nerf: Novel lidar view synthesis via neural radiance fields

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.490701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3e14a81f-0de4-4cc3-912c-9ecc6a246c26 · outbound

This paper cites Deep Domain Confusion: Maximizing for Domain Invariance.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Deep Domain Confusion: Maximizing for Domain Invariance

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-08T14:45:09.163402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e41e666-fecf-41d6-ba2a-eee562bc5cab · outbound

This paper cites Simultaneous deep transfer across domains and tasks.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Simultaneous deep transfer across domains and tasks

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.467997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26077c5e-4025-49d2-9682-1b37b5e1e083 · outbound

This paper cites Adversarial discriminative domain adaptation.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Adversarial discriminative domain adaptation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.444167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba119c7f-b0b0-450b-a428-0c729117b701 · outbound

This paper cites Learn- ing localized generative models for 3d point clouds via graph convolution.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Learn- ing localized generative models for 3d point clouds via graph convolution

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.419109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e08cf1cf-f395-40ae-ae2b-c6dc6e24e5f7 · outbound

This paper cites Neural discrete representation learning.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Neural discrete representation learning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.399293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5457ee27-dcd5-4c35-9208-6657bfcb0568 · outbound

This paper cites Pretraining is All You Need for Image-to-Image Translation.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Pretraining is All You Need for Image-to-Image Translation

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-08T14:45:09.191465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc51ce40-0ea9-4195-8ace-e2132c444c0e · outbound

This paper cites V2vnet: Vehicle- to-vehicle communication for joint perception and prediction.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene V2vnet: Vehicle- to-vehicle communication for joint perception and prediction

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.380939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a7343b39-f9e8-412a-879d-817d1c9ec77e · outbound

This paper cites Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.357978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c50a27ee-bb9a-4de3-800c-7976287f9433 · outbound

This paper cites Text2lidar: Text-guided lidar point cloud generation via equirectangular transformer.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Text2lidar: Text-guided lidar point cloud generation via equirectangular transformer

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.334123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f64e344-5865-46b8-b073-d16f4b5370e6 · outbound

This paper cites V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-08T14:45:09.216571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3424f4e-63f0-4ddf-8ba8-6cf800b33477 · outbound

This paper cites Pandaset: Advanced sensor suite dataset for au- tonomous driving.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Pandaset: Advanced sensor suite dataset for au- tonomous driving

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.300256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a7c1810-a08f-4d8f-aab2-bfda9fde4bf4 · outbound

This paper cites Pointcontrast: Unsupervised pre- training for 3d point cloud understanding.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Pointcontrast: Unsupervised pre- training for 3d point cloud understanding

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.169184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 300eccbd-83f6-4960-80e7-cecbcd77e41a · outbound

This paper cites Learning compact representations for lidar completion and generation.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Learning compact representations for lidar completion and generation

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:11.088234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 87aeec9a-2fef-4867-bad7-3f18de7060cc · outbound

This paper cites Ultralidar: Learning compact representations for lidar completion and generation.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Ultralidar: Learning compact representations for lidar completion and generation

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.980930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 73c56bfe-5331-44aa-adee-eab214d7993e · outbound

This paper cites V2x-vit: Vehicle-to-everything cooperative perception with vision transformer.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene V2x-vit: Vehicle-to-everything cooperative perception with vision transformer

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.841031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 646d253c-6fd9-4806-8238-1b41856658f1 · outbound

This paper cites Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communica- tion.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communica- tion

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.820919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9b555780-bd7d-4a13-bdaa-3e1f8d55d04f · outbound

This paper cites V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.802004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1f1b465c-95ca-4d17-80e4-5466a82a4734 · outbound

This paper cites Second: Sparsely em- bedded convolutional detection.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Second: Sparsely em- bedded convolutional detection

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.782376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 21589b4f-d0ca-4720-ac0a-3a758e1d2aa9 · outbound

This paper cites Proposal- contrast: Unsupervised pre-training for lidar-based 3d object detection.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Proposal- contrast: Unsupervised pre-training for lidar-based 3d object detection

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.758922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d880a6f-fd63-46b1-9adb-a6de80b69f32 · outbound

This paper cites Learning 3d perception from others’ predictions.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Learning 3d perception from others’ predictions

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.740167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 640b417e-1a6a-461e-b848-b14b9eb5105b · outbound

This paper cites Hindsight is 20/20: Leveraging past traversals to aid 3d perception.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Hindsight is 20/20: Leveraging past traversals to aid 3d perception

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.722468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46ad2139-60dc-421e-8e43-0e6f34e672a2 · outbound

This paper cites Dair-v2x: A large-scale dataset for vehicle- infrastructure cooperative 3d object detection.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Dair-v2x: A large-scale dataset for vehicle- infrastructure cooperative 3d object detection

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.703195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 74129b27-6dbb-4595-8fad-41243ad4b004 · outbound

This paper cites Efficient convolutions for real-time semantic segmentation of 3d point clouds.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Efficient convolutions for real-time semantic segmentation of 3d point clouds

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.575908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 30937f92-c313-49f4-8996-20f0586e3fcf · outbound

This paper cites Nerf-lidar: Generating realistic lidar point clouds with neural radiance fields.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Nerf-lidar: Generating realistic lidar point clouds with neural radiance fields

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.433069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e99457e0-0321-49cb-b8d1-874cbf417041 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Adding conditional control to text-to-image diffusion models

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.290843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f83f9148-8707-4f28-9182-50e6f7a65e8f · outbound

This paper cites Lidar4d: Dynamic neural fields for novel space-time view lidar synthesis.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Lidar4d: Dynamic neural fields for novel space-time view lidar synthesis

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.232316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 469ab539-7986-4613-bb7f-bd452a7a1c87 · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene V oxelnet: End-to-end learning for point cloud based 3d object detection

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.208566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e121f9b4-1e90-400e-a91f-1dd0c064d6f4 · outbound

This paper cites Rethinking pre- training and self-training.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Rethinking pre- training and self-training

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.187697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28ddd57f-b24d-4c11-bafc-1775fe333559 · outbound

This paper cites Un- supervised domain adaptation for semantic segmentation via class-balanced self-training.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Un- supervised domain adaptation for semantic segmentation via class-balanced self-training

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.166768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e9fa779-3b1d-4e2f-9573-ef62d83deb99 · outbound

This paper cites Learning to generate realistic lidar point clouds.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Learning to generate realistic lidar point clouds

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.143863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ac790df3-f692-44ea-b0bb-f8ed6cbfe31a · outbound

This paper cites Lidardm: Generative lidar simulation in a generated world.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Lidardm: Generative lidar simulation in a generated world

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-08T14:45:09.736395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2e1259e-ec44-4056-9528-605f5ff4280a · outbound

This paper cites This stage grounds the generation process, ensuring that the outputs align with given semantic cues.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene This stage grounds the generation process, ensuring that the outputs align with given semantic cues

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:45:10.124741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers